| 1 |
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Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction |
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0 |
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Guorui Zhou, Kun Gai, Lejian Ren, Qi Pi, Xiaoqiang Zhu, Ying Fan, Yujing Zhang, Zhe Wang |
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| 2 |
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Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems |
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0 |
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Dawei Yin, Lixin Zou, Shuaiqiang Wang, Yiding Liu, Yulong Gu, Zhuoye Ding |
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| 3 |
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Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants |
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0 |
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Anirban Chakraborty, Debasis Ganguly, Owen Conlan |
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| 4 |
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Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search |
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0 |
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Fuzheng Zhang, Gao Cong, Shang Liu, Wanli Gu |
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| 5 |
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Personalized Re-ranking with Item Relationships for E-commerce |
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0 |
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Junyang Chen, PhengAnn Heng, Qing Liu, Ruiming Tang, Weiwen Liu, Xiuqiang He |
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| 6 |
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Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval |
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0 |
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Alex Soares, Ankit Kumar, Dima Kuzmin, Ed H. Chi, Ellie Ka In Chio, HengTze Cheng, John R. Anderson, Li Zhang, Nitin Jindal, Pei Cao, Ritesh Agarwal, Sarvjeet Singh, Steffen Rendle, Tao Wu, Tushar Chandra, Wen Li, Xiang Ma, Yu Du |
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| 7 |
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Ranking User Attributes for Fast Candidate Selection in Recommendation Systems |
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0 |
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Huichao Xue |
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| 8 |
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AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction |
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0 |
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Bin Liu, Farhan Khawar, Ruiming Tang, Xiuqiang He, Xu Hang, Zhenguo Li |
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| 9 |
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Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision |
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0 |
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Deokmin Haam, Jaewoong Lee, Jongwuk Lee, Sanghoon Lee, WooSik Choi, YoungIn Song |
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| 10 |
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Relevance Ranking for Real-Time Tweet Search |
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0 |
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Bhargav Mangipudi, Jinliang Fan, Juan Caicedo Carvajal, Lisa Huang, Tian Wang, Yan Xia, Yatharth Saraf, Yu Sun |
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| 11 |
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ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search |
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0 |
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Bhaskar Mitra, Bodo Billerbeck, Daniel Campos, Emine Yilmaz, Nick Craswell |
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| 12 |
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Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering |
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0 |
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Allan Hanbury, Markus Zlabinger, Mete Sertkan, Michael Schröder, Sebastian Hofstätter |
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| 13 |
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Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems |
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0 |
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Dietmar Jannach, Federico Parroni, Maurizio Ferrari Dacrema, Paolo Cremonesi |
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| 14 |
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MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction |
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0 |
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Heng Zou, Jinmei Luo, Lei Zhao, Wentao Ouyang, Xiuwu Zhang, Yanlong Du, Yu Zhang, Zhaojie Liu |
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| 15 |
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Learning to Personalize for Web Search Sessions |
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0 |
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Saad Aloteibi, Stephen Clark |
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| 16 |
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Improving End-to-End Sequential Recommendations with Intent-aware Diversification |
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0 |
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Fei Cai, Fei Sun, Maarten de Rijke, Pengjie Ren, Wanyu Chen |
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| 17 |
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Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems |
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0 |
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Dongyan Zhao, Feng Ji, Haiqing Chen, Ji Zhang, Rui Yan, Shaobo Cui, Zhenxin Fu |
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| 18 |
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Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction |
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0 |
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Bin Tong, Chao Wang, Jiwei Tan, Tao Zhuang, Xiang Li, Xiaoyi Zeng |
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| 19 |
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Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks |
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0 |
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Guohui Li, Jianjun Li, Meng Liu, Peng Pan |
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| 20 |
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Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results |
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0 |
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Nayoun Seo, SangWook Kim, YeonChang Lee |
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| 21 |
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TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval |
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0 |
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Beihong Jin, Fuzheng Zhang, Hongyin Tang, Xingwu Sun, Yanling Cui, Zhongyuan Wang |
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| 22 |
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Deep Multi-Interest Network for Click-through Rate Prediction |
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0 |
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Hao Wang, Luwei Yang, Wen Jiang, Yi Hu, Yi Wei, Zhibo Xiao |
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| 23 |
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Personalized Bundle Recommendation in Online Games |
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0 |
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Changjie Fan, Jianrong Tao, Kai Wang, Liang Chen, Minghao Zhao, Qilin Deng, Runze Wu, Zhene Zou |
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| 24 |
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MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction |
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0 |
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Binbin Hu, Fei Sun, Fuyu Lv, Kun Kuang, Qingwen Liu, Wenwu Ou, Yang Liu, Yufei Feng |
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| 25 |
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TPR: Text-aware Preference Ranking for Recommender Systems |
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0 |
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ChihMing Chen, ChuanJu Wang, EePeng Lim, MingFeng Tsai, YuNeng Chuang, Yuan Fang |
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| 26 |
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Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network |
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0 |
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Fengli Xu, Haorui Ma, Jinghan Shi, Pan Hui, Yong Li, Yu Shang, Zhenyu Han |
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| 27 |
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Sequential Recommender via Time-aware Attentive Memory Network |
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0 |
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Alexandra I. Cristea, Keqiang Wang, Tingwei Chen, Wendi Ji, Xiaoling Wang |
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| 28 |
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PSTIE: Time Information Enhanced Personalized Search |
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0 |
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Guanyue Bian, JiRong Wen, Zhengyi Ma, Zhicheng Dou |
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| 29 |
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Bringing Order to Network Embedding: A Relative Ranking based Approach |
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0 |
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Feng Xu, Guosheng Pan, Hanghang Tong, Hongxia Yang, Jian Lu, Yaojing Wang, Yuan Yao |
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| 30 |
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E-commerce Recommendation with Weighted Expected Utility |
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0 |
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Qingyao Ai, Yi Han, Yongfeng Zhang, Zhichao Xu |
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| 31 |
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S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization |
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0 |
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Fuzheng Zhang, Hui Wang, JiRong Wen, Kun Zhou, Sirui Wang, Wayne Xin Zhao, Yutao Zhu, Zhongyuan Wang |
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| 32 |
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The Impact of Negative Relevance Judgments on NDCG |
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0 |
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Lukas Gienapp, Maik Fröbe, Martin Potthast, Matthias Hagen |
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| 33 |
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NASE: : Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search |
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0 |
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Bingfeng Luo, Huang Hu, Xiaoyu Kou, Yan Zhang |
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| 34 |
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Transformer Models for Recommending Related Questions in Web Search |
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0 |
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Manish Gupta, Rajarshee Mitra, Sandipan Dandapat |
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| 35 |
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Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce |
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0 |
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Bofang Li, Chenliang Li, Haochuan Sun, Hongbo Deng, Honggang Wang, Rong Xiao, Xichuan Niu, Zhenzhong Chen |
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| 36 |
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Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding |
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0 |
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Bojia Lin, Daxin Jiang, Jiangang Zhu, Ling Geng, Yang Yang, Zihan Xu |
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| 37 |
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An Event-Oriented Neural Ranking Model for News Retrieval |
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0 |
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Fuqing Zhu, Jizhong Han, Liangjun Zang, Lin Zhao, Ruixuan Li, Songlin Hu, Wanhui Qian, Yijun Lu |
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| 38 |
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Dimension Relation Modeling for Click-Through Rate Prediction |
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0 |
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Changping Peng, Weipeng Yan, Yong Li, Yongjun Bao, Zhiwei Fang, Zihao Zhao |
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| 39 |
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Leveraging Historical Interaction Data for Improving Conversational Recommender System |
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0 |
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Fuzheng Zhang, Hui Wang, JiRong Wen, Kun Zhou, Sirui Wang, Wayne Xin Zhao, Zhongyuan Wang |
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| 40 |
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EdgeRec: Recommender System on Edge in Mobile Taobao |
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0 |
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Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou, Yu Gong, Yufei Feng, Ziwen Jiang |
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| 41 |
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Personalized Flight Itinerary Ranking at Fliggy |
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0 |
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Bufeng Zhang, Jin Huang, Jinhong Huang, Shan Sun, Yang Li |
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| 42 |
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Magellan: A Personalized Travel Recommendation System Using Transaction Data |
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0 |
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Dhruv Gelda, Hao Yang, Konik Kothari, Wei Zhang |
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| 43 |
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Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space |
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0 |
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Anxiang Zeng, Lijun Zhang, Pengcheng Li, Qing Da, Runze Li |
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| 44 |
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Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation |
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0 |
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Bo Zhang, Ke Tu, Lei Chen, Leyu Lin, Peng Cui, Qi Liu, Ruobing Xie, Shukai Liu |
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| 45 |
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Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement |
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0 |
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Kapil Thadani, Manisha Verma, Shaunak Mishra, Wei Wang, Yichao Zhou |
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| 46 |
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Query-aware Tip Generation for Vertical Search |
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0 |
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Canjia Li, Fuzheng Zhang, Gong Zhang, Jingang Wang, Junmei Hao, Peixu Hou, Rao Fu, Yang Yang, Zhongyuan Wang, Zili Wang |
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| 47 |
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Approximate Event Pattern Matching over Heterogeneous and Dirty Sources |
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0 |
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Ruihong Huang |
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| 48 |
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Generating Clarifying Questions in Conversational Search Systems |
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0 |
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Leila Tavakoli |
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| 49 |
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Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods |
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0 |
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ChengXiang Zhai, Parikshit Sondhi, Shubhra (Santu) K. Karmaker |
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| 50 |
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ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation |
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0 |
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Kristian Gingstad, Krisztian Balog, Øyvind Jekteberg |
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| 51 |
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IAI MovieBot: A Conversational Movie Recommender System |
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0 |
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Javeria Habib, Krisztian Balog, Shuo Zhang |
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| 52 |
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Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection |
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0 |
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Chengfu Huo, Chenwei Weng, Liangwei Li, Liucheng Sun, Weijun Ren |
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| 53 |
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Modelling User Behavior Dynamics with Embeddings |
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0 |
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Alessandro Checco, Djellel Eddine Difallah, Gianluca Demartini, Lei Han, Shazia Wasim Sadiq |
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| 54 |
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Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation |
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0 |
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Di You, Kyumin Lee, Thanh Tran |
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| 55 |
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Providing Direct Answers in Search Results: A Study of User Behavior |
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0 |
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Berkant Barla Cambazoglu, Falk Scholer, Mark Sanderson, W. Bruce Croft, Zhijing Wu |
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| 56 |
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Feedback Loop and Bias Amplification in Recommender Systems |
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0 |
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Bamshad Mobasher, Himan Abdollahpouri, Masoud Mansoury, Mykola Pechenizkiy, Robin Burke |
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| 57 |
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Product Insights: Analyzing Product Intents in Web Search |
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0 |
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Chandra Shekhar Maddila, Chetan Bansal, Nikitha Rao, Subhabrata Mukherjee |
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| 58 |
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Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms |
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0 |
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JiRong Wen, Junhua Chen, Pengfei Wang, Qi Gu, Wayne Xin Zhao |
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| 59 |
|
Learning to Rank in the Position Based Model with Bandit Feedback |
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0 |
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Beyza Ermis, Giovanni Zappella, Patrick Ernst, Yannik Stein |
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| 60 |
|
Intent-Driven Similarity in E-Commerce Listings |
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0 |
|
Gilad Fuchs, Idan Hasson, Pavel Petrov, Yoni Acriche |
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| 61 |
|
TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval |
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0 |
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Jian Jiao, Ruofei Zhang, Wenhao Lu |
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| 62 |
|
Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback |
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0 |
|
Fabian Moerchen, Giovanni Zappella, Patrick Ernst |
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| 63 |
|
Learning to Infer User Hidden States for Online Sequential Advertising |
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0 |
|
Chuan Yu, Haiyang Xu, Han Li, Jian Xu, Jun Wang, Junqi Jin, Kun Gai, Lan Luo, Miao Xu, Rui Luo, Tiejian Luo, Weinan Zhang, Yaodong Yang, Zhaoqing Peng |
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| 64 |
|
Helix: DGA Domain Embeddings for Tracking and Exploring Botnets |
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0 |
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Asaf Nadler, Asaf Shabtai, Lior Sidi, Yisroel Mirsky, Yuval Elovici |
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| 65 |
|
Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation |
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0 |
|
Buru Chang, Gwanghoon Jang, Jaewoo Kang, Seoyoon Kim |
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| 66 |
|
Offline Evaluation by Maximum Similarity to an Ideal Ranking |
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0 |
|
Alexandra Vtyurina, Charles L. A. Clarke, Mark D. Smucker |
|
| 67 |
|
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation |
|
0 |
|
Sheng Li, Stephen L. Rathbun, Zhixuan Chu |
|
| 68 |
|
DE-RRD: A Knowledge Distillation Framework for Recommender System |
|
0 |
|
Hwanjo Yu, Junyoung Hwang, SeongKu Kang, Wonbin Kweon |
|
| 69 |
|
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization |
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0 |
|
DeNian Yang, HongHan Shuai, HsuChao Lai, JiunLong Huang, JuiYi Tsai, WangChien Lee |
|
| 70 |
|
A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities |
|
0 |
|
Mingda Li, Weiting Gao, Yi Chen |
|
| 71 |
|
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation |
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0 |
|
Bryan Hooi, Jagannadan Varadarajan, Nicholas Lim, Renrong Weng, SeeKiong Ng, Xueou Wang, Yong Liang Goh |
|
| 72 |
|
Attributed Network Embedding based on Mutual Information Estimation |
|
0 |
|
Andrew D. Madden, Daifeng Li, Xiaomin Liang |
|
| 73 |
|
Attacking Recommender Systems with Augmented User Profiles |
|
0 |
|
Chen Lin, Hui Li, Lianyun Li, Qian Yang, Si Chen, Yanghua Xiao |
|
| 74 |
|
Star Graph Neural Networks for Session-based Recommendation |
|
0 |
|
Fei Cai, Honghui Chen, Maarten de Rijke, Wanyu Chen, Zhiqiang Pan |
|
| 75 |
|
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank |
|
0 |
|
Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke |
|
| 76 |
|
Efficient Sampling Algorithms for Approximate Temporal Motif Counting |
|
0 |
|
Jingjing Wang, KianLee Tan, Wenjun Jiang, Yanhao Wang, Yuchen Li |
|
| 77 |
|
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering |
|
0 |
|
Boualem Benatallah, Feng Yuan, Lina Yao |
|
| 78 |
|
Query Understanding via Intent Description Generation |
|
0 |
|
Jiafeng Guo, Ruqing Zhang, Xueqi Cheng, Yanyan Lan, Yixing Fan |
|
| 79 |
|
A Comparison of Top-k Threshold Estimation Techniques for Disjunctive Query Processing |
|
0 |
|
Antonio Mallia, Mengyang Sun, Michal Siedlaczek, Torsten Suel |
|
| 80 |
|
Representative Negative Instance Generation for Online Ad Targeting |
|
0 |
|
Depeng Jin, Jianbo Yang, Jingtao Ding, Xing Zhou, Yong Li, Yuhan Quan |
|
| 81 |
|
DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation |
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0 |
|
Garrison W. Cottrell, Hammad A. Ayyubi, Md. Mehrab Tanjim |
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| 82 |
|
Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation |
|
0 |
|
Bei Wang, Chenrui Zhang, Hao Zhang, Xiaoqing Lyu, Zhi Tang |
|
| 83 |
|
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank |
|
0 |
|
Qingyao Ai, Shibo Li, Shikai Fang, Tao Yang, Yulan Wang |
|
| 84 |
|
Multiplex Graph Neural Networks for Multi-behavior Recommendation |
|
0 |
|
Congfu Xu, Jingwen Mao, Weifeng Zhang, Yi Cao |
|
| 85 |
|
U-rank: Utility-oriented Learning to Rank with Implicit Feedback |
|
0 |
|
Jiawei Hou, Jun Wang, Qing Liu, Ruiming Tang, Weinan Zhang, Xinyi Dai, Xiuqiang He, Yong Yu, Yunjia Xi |
|
| 86 |
|
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation |
|
0 |
|
Christos Faloutsos, Jin Li, Junheng Hao, Tong Zhao, Wei Wang, Xin Luna Dong, Yizhou Sun |
|
| 87 |
|
ART (Attractive Recommendation Tailor): How the Diversity of Product Recommendations Affects Customer Purchase Preference in Fashion Industry? |
|
0 |
|
Hyokmin Kwon, Jaeho Han, Kyungsik Han |
|
| 88 |
|
AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce |
|
0 |
|
Feng Ji, FengLin Li, Guohai Xu, Haiqing Chen, Hehong Chen, Ji Zhang, Tian Qiu |
|
| 89 |
|
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding |
|
0 |
|
Changjie Fan, Hao Deng, Jianrong Tao, Liang Chen, Qi Liu, Runze Wu |
|
| 90 |
|
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion |
|
0 |
|
Cheng Long, Jie Zhang, Kaiying Yuan, Martin Ester, Shen Xin, Yanghua Li, Yizhou Ye, Zhao Li |
|
| 91 |
|
Learning to Build User-tag Profile in Recommendation System |
|
0 |
|
Leyu Lin, Ran Huo, Su Yan, Xin Chen, Xu Zhang |
|
| 92 |
|
Ensembled CTR Prediction via Knowledge Distillation |
|
0 |
|
Jieming Zhu, Jincai Lai, Jinyang Liu, Liang Chen, Weiqi Li, Xiuqiang He, Zibin Zheng |
|
| 93 |
|
MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings |
|
0 |
|
Anders H. Brams, Anders Langballe Jakobsen, Katja Hose, Matteo Lissandrini, Peter Dolog, Theis E. Jendal |
|
| 94 |
|
MIMICS: A Large-Scale Data Collection for Search Clarification |
|
0 |
|
Everest Chen, Flint Luu, Gord Lueck, Hamed Zamani, Nick Craswell, Rodolfo Quispe |
|
| 95 |
|
User Taste-Aware Image Search |
|
0 |
|
Jiyun Luo, Pak Ming Cheung, Rajat Raina, Wenyu Huo, Ying Huang |
|
| 96 |
|
Ranking Multiple Choice Question Distractors using Semantically Informed Neural Networks |
|
0 |
|
Jatin Mandav, Manjira Sinha, Tirthankar Dasgupta |
|
| 97 |
|
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information |
|
0 |
|
Abhisht Tiwari, Heer Ambavi, Kavita Vaishnaw, Mayank Singh, Udit Vyas |
|
| 98 |
|
Semantic Search over Structured Data |
|
0 |
|
Sainyam Galhotra, Udayan Khurana |
|
| 99 |
|
Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures |
|
0 |
|
Rainer Schlosser, Stefan Halfpap |
|
| 100 |
|
Active Search using Meta-Bandits |
|
0 |
|
Jakob Coles, Shengli Zhu, Sihong Xie |
|
| 101 |
|
Optimization of Answer Set Programs for Consistent Query Answering by Means of First-Order Rewriting |
|
0 |
|
Aziz Amezian El Khalfioui, Dorian Labeeuw, Gaëtan Staquet, Jef Wijsen, Jonathan Joertz |
|
| 102 |
|
Spectral Relaxations and Fair Densest Subgraphs |
|
0 |
|
Adriano Fazzone, Aris Anagnostopoulos, Chris Schwiegelshohn, Cristina Menghini, Luca Becchetti |
|
| 103 |
|
The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion |
|
0 |
|
Carlos R. Rivero, Iti Bansal, Sudhanshu Tiwari |
|
| 104 |
|
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding |
|
0 |
|
Gilad Katz, Ido Guy, Kira Radinsky, Lior Rokach, Moran Beladev |
|
| 105 |
|
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network |
|
0 |
|
JiRong Wen, Kun Zhou, Shuqing Bian, Tao Zhang, Wayne Xin Zhao, Xu Chen, Yang Song, Yupeng Hou |
|
| 106 |
|
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation |
|
0 |
|
Bo Chen, Dong Wang, Ruiming Tang, Wei Guo, Xin Xin, Xiuqiang He, Yue Ding |
|
| 107 |
|
An Adaptive Embedding Framework for Heterogeneous Information Networks |
|
0 |
|
Bolin Ding, Daoyuan Chen, Yaliang Li, Ying Shen |
|
| 108 |
|
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce |
|
0 |
|
Wai Lam, Wenxuan Zhang, Yang Deng |
|
| 109 |
|
Evaluating Stochastic Rankings with Expected Exposure |
|
0 |
|
Asia J. Biega, Ben Carterette, Bhaskar Mitra, Fernando Diaz, Michael D. Ekstrand |
|
| 110 |
|
Neural Formatting for Spreadsheet Tables |
|
0 |
|
Dongmei Zhang, Haoyu Dong, Jinyu Wang, Shi Han, Zhouyu Fu |
|
| 111 |
|
Quality-Aware Ranking of Arguments |
|
0 |
|
Lorik Dumani, Ralf Schenkel |
|
| 112 |
|
Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding |
|
0 |
|
Chang Gao, Chengjie Sun, Lei Lin, Lili Shan, Mingjiang Wang |
|
| 113 |
|
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation |
|
0 |
|
Jingyue Gao, Xiting Wang, Xu Chu, Yang Lin, Yasha Wang, Yuanduo He, Zhao Yang |
|
| 114 |
|
Knowledge Graph Embedding Preserving Soft Logical Regularity |
|
0 |
|
Bingnan Ma, Haibin Zhai, Hong Zhang, Lihong Wang, Lin Li, Lingshuai Meng, Shu Guo, Wei Liu, Zhen Hui |
|
| 115 |
|
Ranking Enhanced Dialogue Generation |
|
0 |
|
Changying Hao, Fei Sun, Jiafeng Guo, Liang Pang, Xueqi Cheng, Yanyan Lan |
|
| 116 |
|
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors |
|
0 |
|
Peng Zhang, Yongquan He, Zhaochun Ren, Zhaopeng Tu, Zihan Wang |
|
| 117 |
|
Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems |
|
0 |
|
Chongyang Tao, Kai Hua, Lu Zhang, Rui Yan, Zhiyuan Feng |
|
| 118 |
|
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach |
|
0 |
|
Bo Hui, Da Yan, WeiShinn Ku, Wenlu Wang |
|
| 119 |
|
Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation |
|
0 |
|
Bo Jin, Ke Cheng, Liang Zhang, Lu Jiang, Minghao Yin, Yanjie Fu |
|
| 120 |
|
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding |
|
0 |
|
Dakshak Keerthi Chandra, Jennifer L. Leopold, Pengyang Wang, Yanjie Fu |
|
| 121 |
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News Recommendation with Topic-Enriched Knowledge Graphs |
|
0 |
|
Byungkook Oh, Dongho Lee, KyongHo Lee, Seungmin Seo |
|
| 122 |
|
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision |
|
0 |
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Julien Leblay, Melisachew Wudage Chekol, Xin Liu |
|
| 123 |
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Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network |
|
0 |
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Can Li, Lei Bai, Lina Yao, S. Travis Waller, Wei Liu |
|
| 124 |
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Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network |
|
0 |
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Gaole He, JiRong Wen, Junyi Li, Nicholas Jing Yuan, Siqing Li, Wayne Xin Zhao, Zhicheng Wei |
|
| 125 |
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Generate Neural Template Explanations for Recommendation |
|
0 |
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Lei Li, Li Chen, Yongfeng Zhang |
|
| 126 |
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Learning Better Representations for Neural Information Retrieval with Graph Information |
|
0 |
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Jiaxin Mao, Maarten de Rijke, Min Zhang, Shaoping Ma, Weizhi Ma, Xiangsheng Li, Yiqun Liu |
|
| 127 |
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Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis |
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0 |
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Bin Liang, Jiachen Du, Lin Gui, Rongdi Yin, Ruifeng Xu, Yulan He |
|
| 128 |
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Explainable Recommender Systems via Resolving Learning Representations |
|
0 |
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Li Li, Ninghao Liu, Rui Chen, SooHyun Choi, Xia Hu, Yong Ge |
|
| 129 |
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An NVM SSD-Optimized Query Processing Framework |
|
0 |
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Gang Wang, Xiaoguang Liu, Xinyu Liu, Yu Pan, Yusen Li |
|
| 130 |
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Recommending Inferior Results: A General and Feature-Free Model for Spam Detection |
|
0 |
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Yuli Liu |
|
| 131 |
|
Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks |
|
0 |
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Steven C. H. Hoi, Wentao Zhang, Xinming Zhang, Yuan Fang, Zemin Liu |
|
| 132 |
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Fast Attributed Multiplex Heterogeneous Network Embedding |
|
0 |
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Baode Fan, Chao Huang, Junyu Dong, Yanwei Yu, Zhijun Liu |
|
| 133 |
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Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining |
|
0 |
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Chien Lu, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin |
|
| 134 |
|
Examining the Additivity of Top-k Query Processing Innovations |
|
0 |
|
Alistair Moffat, Joel M. Mackenzie |
|
| 135 |
|
CSNE: Conditional Signed Network Embedding |
|
0 |
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Alexandru Mara, Jefrey Lijffijt, Tijl De Bie, Yoosof Mashayekhi |
|
| 136 |
|
G-CREWE: Graph CompREssion With Embedding for Network Alignment |
|
0 |
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Danai Koutra, Flora D. Salim, Kyle Kai Qin, Mark Heimann, Wei Shao, Yongli Ren |
|
| 137 |
|
Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph |
|
0 |
|
Kun Zhang, Long Bai, Saiping Guan, Xiaolong Jin, Xueqi Cheng, Yuanzhuo Wang, Yunqi Qiu |
|
| 138 |
|
Diversifying Search Results using Self-Attention Network |
|
0 |
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JiRong Wen, Xubo Qin, Zhicheng Dou |
|
| 139 |
|
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions |
|
0 |
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Anurag Roy, Kripabandhu Ghosh, Saptarshi Ghosh, Vinay Kumar Verma |
|
| 140 |
|
Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution Environment |
|
0 |
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Alvin Oliver Glova, Jinjin Shao, Shiyu Ji, Tao Yang, Tim Sherwood, Yifan Qiao |
|
| 141 |
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Multi-modal Knowledge Graphs for Recommender Systems |
|
0 |
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Fuzheng Zhang, Junchen Wan, Kai Zheng, Kun Zhou, Rui Sun, Xuezhi Cao, Yan Zhao, Zhongyuan Wang |
|
| 142 |
|
E-Commerce Dispute Resolution Prediction |
|
0 |
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Alexander Nus, Arnon Dagan, Dafna Shahaf, David Tsurel, Ido Guy, Michael Doron |
|
| 143 |
|
A Graph Matching Attack on Privacy-Preserving Record Linkage |
|
0 |
|
Anushka Vidanage, Peter Christen, Rainer Schnell, Thilina Ranbaduge |
|
| 144 |
|
Graph Few-shot Learning with Attribute Matching |
|
0 |
|
Jundong Li, Kaize Ding, Lingling Zhang, Minnan Luo, Ning Wang, Qinghua Zheng |
|
| 145 |
|
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction |
|
0 |
|
Hao Chen, Hao Miao, Senzhang Wang, Zhiqiu Huang |
|
| 146 |
|
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification |
|
0 |
|
Craig MacDonald, Iadh Ounis, Xi Wang |
|
| 147 |
|
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation |
|
0 |
|
Ming Zhang, Sheng Wang, Suyao Tang, Weiping Song, Yifan Wang, Yuntong Lei |
|
| 148 |
|
Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer |
|
0 |
|
Chao Huang, Nitesh V. Chawla, Shayan Mirjafari, Stephen M. Mattingly, Xian Wu |
|
| 149 |
|
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation |
|
0 |
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Gerard de Melo, Handong Zhao, Qiaoying Huang, S. Muthukrishnan, Shijie Geng, Xu Chen, Yikun Xian, Yingqiang Ge, Yongfeng Zhang, Zhou Qin, Zuohui Fu |
|
| 150 |
|
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching |
|
0 |
|
Cheng Li, Liu Yang, Marc Najork, Michael Bendersky, Mingyang Zhang |
|
| 151 |
|
NagE: Non-Abelian Group Embedding for Knowledge Graphs |
|
0 |
|
Long Sha, Pengyu Hong, Tong Yang |
|
| 152 |
|
TOMATO: A Topic-Wise Multi-Task Sparsity Model |
|
0 |
|
Dongwon Lee, Jason (Jiasheng) Zhang |
|
| 153 |
|
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning |
|
0 |
|
Chuan Shi, Jing Zhang, Qingyong Li, Yangliao Geng |
|
| 154 |
|
Whole-Chain Recommendations |
|
0 |
|
Dawei Yin, Hui Liu, Jiliang Tang, Lixin Zou, Long Xia, Xiangyu Zhao |
|
| 155 |
|
When Structure Meets Keywords: Cohesive Attributed Community Search |
|
0 |
|
Jeffrey Xu Yu, Jian He, Junhao Ye, Lu Qin, Xin Huang, Yuanyuan Zhu |
|
| 156 |
|
LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks |
|
0 |
|
Jianhui Huang, Jingping Bi, Xiaokai Chu, Xinxin Fan, Zhihua Zhu |
|
| 157 |
|
FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical Ranking |
|
0 |
|
Mohammad Bahrani, Thomas Roelleke |
|
| 158 |
|
Automatic Gaussian Process Model Retrieval for Big Data |
|
0 |
|
Christian Beecks, Fabian Berns |
|
| 159 |
|
Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements |
|
0 |
|
Ioannis Arapakis, Luis A. Leiva, Lukas Brückner |
|
| 160 |
|
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding |
|
0 |
|
Danai Koutra, Fatemeh Vahedian, Mark Heimann, Xiyuan Chen |
|
| 161 |
|
Why is That a Background Article: A Qualitative Analysis of Relevance for News Background Linking |
|
0 |
|
Marwa Essam, Tamer Elsayed |
|
| 162 |
|
Hybrid Dynamic Pruning for Efficient and Effective Query Processing |
|
0 |
|
Gang Wang, Trent G. Marbach, Wenxiu Fang, Xiaoguang Liu |
|
| 163 |
|
A View-Adversarial Framework for Multi-View Network Embedding |
|
0 |
|
Bo Li, Dongqi Fu, Hanghang Tong, Jingrui He, Zhe Xu |
|
| 164 |
|
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots |
|
0 |
|
JiaChen Gu, Quan Liu, Si Wei, Tianda Li, Xiaodan Zhu, ZhenHua Ling, Zhiming Su |
|
| 165 |
|
Learning to Re-Rank with Contextualized Stopwords |
|
0 |
|
Aldo Lipani, Allan Hanbury, Markus Zlabinger, Sebastian Hofstätter |
|
| 166 |
|
What Rankers Can be Statistically Distinguished in Multileaved Comparisons? |
|
0 |
|
Akiomi Nishida, Makoto P. Kato, Sumio Fujita, Takehiro Yamamoto, Tomohiro Manabe |
|
| 167 |
|
Ranking Clarification Questions via Natural Language Inference |
|
0 |
|
Jamie Callan, Vaibhav Kumar, Vikas Raunak |
|
| 168 |
|
Active Query of Private Demographic Data for Learning Fair Models |
|
0 |
|
Chao Lan, Yijun Liu |
|
| 169 |
|
Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision |
|
0 |
|
HaiTao Yu, Naoki Muramoto |
|
| 170 |
|
CGTR: Convolution Graph Topology Representation for Document Ranking |
|
0 |
|
Jiayue Zhang, Jun Guo, Weiran Xu, Yansong Liu, Yuanyuan Qi |
|
| 171 |
|
Muse: Multi-query Event Trend Aggregation |
|
0 |
|
Allison Rozet, Chuan Lei, Elke A. Rundensteiner, Olga Poppe |
|
| 172 |
|
Distant Supervision in BERT-based Adhoc Document Retrieval |
|
0 |
|
Avishek Anand, Koustav Rudra |
|
| 173 |
|
Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks |
|
0 |
|
Chaoran Cui, Jian Zong, Jin Huang, Meng Chen, Yilong Yin, Zhen Shen |
|
| 174 |
|
DREAM: A Dynamic Relation-Aware Model for Social Recommendation |
|
0 |
|
Jianming Wang, Jing Xiao, Liqiang Song, Mengqiu Yao, Ye Bi, Zhenyu Wu |
|
| 175 |
|
Schema-Agnostic Entity Matching using Pre-trained Language Models |
|
0 |
|
Kai Sheng Teong, LayKi Soon, Tin Tin Su |
|
| 176 |
|
Embedding Node Structural Role Identity into Hyperbolic Space |
|
0 |
|
Chenghan Huang, Lili Wang, Soroush Vosoughi, Ying Lu |
|
| 177 |
|
Time-aware Graph Relational Attention Network for Stock Recommendation |
|
0 |
|
Cong Xu, Jianliang Gao, Jianxin Wang, Xiaoting Ying, Zhao Li |
|
| 178 |
|
Event-Driven Network for Cross-Modal Retrieval |
|
0 |
|
Nan Xu, Wenji Mao, Zhixiong Zeng |
|
| 179 |
|
Diversifying Multi-aspect Search Results Using Simpson's Diversity Index |
|
0 |
|
Eugene Agichtein, Jianghong Zhou, Surya Kallumadi |
|
| 180 |
|
AutoADR: Automatic Model Design for Ad Relevance |
|
0 |
|
Hong Sun, Jing Bai, Rong Zhou, Ruofei Zhang, Wei Shen, Yaming Yang, Yiren Chen, Yu Xu, Yujing Wang, Yunhai Tong |
|
| 181 |
|
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture |
|
0 |
|
Dongmei Zhang, Haoyu Dong, Jiong Yang, Shi Han |
|
| 182 |
|
DeText: A Deep Text Ranking Framework with BERT |
|
0 |
|
Ananth Sankar, BeeChung Chen, Bo Long, Deepak Agarwal, Huiji Gao, Liang Zhang, Qi Guo, Sida Wang, Weiwei Guo, Xiaowei Liu, Zimeng Yang |
|
| 183 |
|
Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction |
|
0 |
|
Ji Zhang, Jialin Wang, Jiaming Huang, Jun Gao, Junxiao Jiang, Pengcheng Zou, Rong Xiao, Xiaoru Qu, Zhao Li, Zhipeng Zhang |
|
| 184 |
|
Query Understanding for Surfacing Under-served Music Content |
|
0 |
|
Aasish Pappu, Brian Brost, Federico Tomasi, Hugo Galvão, Judith Bütepage, Mounia Lalmas, Rishabh Mehrotra |
|
| 185 |
|
Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation |
|
0 |
|
Changjie Fan, Hao Li, Jianrong Tao, Kai Wang, Liang Chen, Linxia Gong, Peng Cui, Runze Wu |
|
| 186 |
|
Efficient Neural Query Auto Completion |
|
0 |
|
Bo Long, Huiji Gao, Sida Wang, Weiwei Guo |
|
| 187 |
|
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems |
|
0 |
|
Huifeng Guo, Mark Coates, Ruiming Tang, Wei Guo, Yingxue Zhang, Yishi Xu |
|
| 188 |
|
LensKit for Python: Next-Generation Software for Recommender Systems Experiments |
|
0 |
|
Michael D. Ekstrand |
|
| 189 |
|
Profiling Entity Matching Benchmark Tasks |
|
0 |
|
Anna Primpeli, Christian Bizer |
|
| 190 |
|
ReQue: A Configurable Workflow and Dataset Collection for Query Refinement |
|
0 |
|
Ebrahim Bagheri, Fattane Zarrinkalam, Hossein Fani, Jamil Samouh, Mahtab Tamannaee, Samad Paydar |
|
| 191 |
|
Tailoring Entity Matching for Industrial Settings |
|
0 |
|
Nils Barlaug |
|
| 192 |
|
ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research |
|
0 |
|
Apurva Mulay, Emilio Ferrara, Reza Zafarani, Xinyi Zhou |
|
| 193 |
|
Embedding based Link Prediction for Knowledge Graph Completion |
|
0 |
|
Russa Biswas |
|
| 194 |
|
Some Issues for Location Dependent Information System Query in Mobile Environment |
|
0 |
|
Ajay Kr. Gupta |
|
| 195 |
|
How the Quantum-inspired Framework Supports Keyword Searches on Multi-model Databases |
|
0 |
|
Gongsheng Yuan |
|
| 196 |
|
Two Test Collections for Retrieval Using Named Entity Markup |
|
0 |
|
Dawn J. Lawrie, Douglas W. Oard, Jacob Bremerman, James Mayfield |
|
| 197 |
|
A Capsule Network-based Model for Learning Node Embeddings |
|
0 |
|
Dai Quoc Nguyen, Dat Quoc Nguyen, Dinh Phung, Tu Dinh Nguyen |
|
| 198 |
|
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification |
|
0 |
|
Arkaitz Zubiaga |
|
| 199 |
|
Computing and Illustrating Query Rewritings on Path Views with Binding Patterns |
|
0 |
|
Antoine Amarilli, Fabian M. Suchanek, Julien Romero, Nicoleta Preda |
|
| 200 |
|
Multi-Model Data Query Languages and Processing Paradigms |
|
0 |
|
Calvin Sun, Chao Zhang, Jiaheng Lu, Qingsong Guo, Steven Yuan |
|
| 201 |
|
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes |
|
0 |
|
Lexing Xie, MarianAndrei Rizoiu, Quyu Kong |
|
| 202 |
|
Uncovering Semantic Bias in Neural Network Models Using a Knowledge Graph |
|
0 |
|
Andriy Nikolov, Mathieu d'Aquin |
|
| 203 |
|
Joint Estimation of User And Publisher Credibility for Fake News Detection |
|
0 |
|
Lise Getoor, Rajdipa Chowdhury, Sriram Srinivasan |
|
| 204 |
|
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents |
|
0 |
|
Aoying Zhou, Dawei Cheng, Fangzhou Yang, Mengzhen Fan, Siqiang Luo, Weining Qian, Yifeng Luo |
|
| 205 |
|
Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model |
|
0 |
|
Aaron Flores, Djordje Gligorijevic, Jelena Gligorijevic |
|
| 206 |
|
Incorporating User Feedback into Sequence to Sequence Model Training |
|
0 |
|
Bo Long, Huiji Gao, Michaeel Kazi, Weiwei Guo |
|
| 207 |
|
Masked-field Pre-training for User Intent Prediction |
|
0 |
|
Chunyi Liu, Hao Feng, Jiang Xu, Jieping Ye, Peng Wang, Zang Li |
|
| 208 |
|
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots |
|
0 |
|
Cen Chen, Chilin Fu, Jun Zhou, Kuan Xu, Wenge Rong, Xiaolong Li, Xiaolu Zhang, YaLin Zhang, Yu Qiao, Zujie Wen |
|
| 209 |
|
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study |
|
0 |
|
Baifan Zhou, Evgeny Kharlamov, Ralf Mikut, Seongsu Byeon, Tim Pychynski, Yulia Svetashova |
|
| 210 |
|
Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks |
|
0 |
|
Daeyoung Yoon, Simon S. Woo |
|
| 211 |
|
User and Context Integrated Experience Mining in Online Health Communities |
|
0 |
|
Jinhe Shi, Yi Chen |
|
| 212 |
|
Mining User Interests from Social Media |
|
0 |
|
Ebrahim Bagheri, Fattane Zarrinkalam, Guangyuan Piao, Stefano Faralli |
|
| 213 |
|
Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning |
|
0 |
|
HaiYuan Kuo, HaoYi Chih, WenChih Peng, YaoChung Fan |
|
| 214 |
|
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction |
|
0 |
|
Huzefa Rangwala, Lijing Wang, Shusen Wang, Songgaojun Deng, Yue Ning |
|
| 215 |
|
UPON: User Profile Transferring across Networks |
|
0 |
|
Huafeng Cao, Mengting Diao, Sen Su, Shuai Gao, Zhongbao Zhang |
|
| 216 |
|
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning |
|
0 |
|
Guannan Liang, Jiahao Ding, Jinbo Bi, Jingyi Wang, Miao Pan |
|
| 217 |
|
WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks |
|
0 |
|
BayYuan Hsu, ChihYa Shen, MingYi Chang |
|
| 218 |
|
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation |
|
0 |
|
Jingbin Zhang, Yajun Huang, Yiyang Yang, Zhifeng Hao, Zhiguo Gong |
|
| 219 |
|
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks |
|
0 |
|
Haibin Cai, Haobing Liu, Jiadi Yu, Tianzi Zang, Yanmin Zhu |
|
| 220 |
|
Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection |
|
0 |
|
Bo Cheng, Haina Tang, Hao Yang, Ruiqiang Liu, Shuai Zhao, Taoyu Li |
|
| 221 |
|
Dynamic Representation Learning for Large-Scale Attributed Networks |
|
0 |
|
Baode Fan, Chao Huang, Junyu Dong, Peng Song, Yanwei Yu, Zhijun Liu |
|
| 222 |
|
Feature Selection on Data Stream via Multi-Cluster Structure Preservation |
|
0 |
|
Li Cheng, Rui Ma, Yijie Wang |
|
| 223 |
|
Deep Generative Positive-Unlabeled Learning under Selection Bias |
|
0 |
|
Byeonghu Na, Hyemi Kim, IlChul Moon, Kyungwoo Song, Weonyoung Joo, YoonYeong Kim |
|
| 224 |
|
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams |
|
0 |
|
Amila Silva, Christopher Leckie, Ling Luo, Shanika Karunasekera |
|
| 225 |
|
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection |
|
0 |
|
Hwanjun Song, JaeGil Lee, Minseok Kim, Sundong Kim |
|
| 226 |
|
Continual Domain Adaptation for Machine Reading Comprehension |
|
0 |
|
Jiafeng Guo, Lixin Su, Ruqing Zhang, Xueqi Cheng, Yanyan Lan, Yixing Fan |
|
| 227 |
|
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks |
|
0 |
|
Charu C. Aggarwal, Huaxiu Yao, Jiliang Tang, Prasenjit Mitra, Suhang Wang, Xianfeng Tang, Yiqi Wang, Yiwei Sun |
|
| 228 |
|
Streaming Graph Neural Networks via Continual Learning |
|
0 |
|
Guojie Song, Junshan Wang, Liang Wang, Yi Wu |
|
| 229 |
|
Mining Infrequent High-Quality Phrases from Domain-Specific Corpora |
|
0 |
|
Guotong Xie, Keqiang Wang, Li Wang, Sheng Zhang, Sihang Jiang, Wei Zhu, Yanghua Xiao, Yuan Ni |
|
| 230 |
|
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction |
|
0 |
|
Cao Xiao, Fenglong Ma, Junyu Luo, Muchao Ye |
|
| 231 |
|
Building Test Collections using Bandit Techniques: A Reproducibility Study |
|
0 |
|
Bahadir Altun, Mücahid Kutlu |
|
| 232 |
|
Sample Optimization For Display Advertising |
|
0 |
|
Hongfang Zhang, Hongliang Fei, Pengju Guo, Ping Li, Shulong Tan, Wenbo Zhang |
|
| 233 |
|
Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain |
|
0 |
|
Benno Stein, Lukas Gienapp, Martin Potthast, Matthias Hagen |
|
| 234 |
|
Subsampled Randomized Hadamard Transform for Regression of Dynamic Graphs |
|
0 |
|
Mostafa Haghir Chehreghani |
|
| 235 |
|
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation |
|
0 |
|
Chengcheng Bai, Hailin Hu, MingJian Tang |
|
| 236 |
|
Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network |
|
0 |
|
Donglin Wang, Shanshan Zhang, Tiancheng Huang, Zifeng Zhuang |
|
| 237 |
|
DistilSum: : Distilling the Knowledge for Extractive Summarization |
|
0 |
|
Fang Fang, Haichao Shi, Jianlong Tan, Ruipeng Jia, Yanan Cao, Yanbing Liu |
|
| 238 |
|
Rethinking Operators Placement of Stream Data Application in the Edge |
|
0 |
|
David Guyon, Shadi Ibrahim, Thomas Lambert |
|
| 239 |
|
Diversifying Top-k Point-of-Interest Queries via Collective Social Reach |
|
0 |
|
Christos Doulkeridis, Kjetil Nørvåg, Sean Chester, Stella Maropaki |
|
| 240 |
|
A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction |
|
0 |
|
Bardh Prenkaj, Damiano Distante, Paola Velardi, Stefano Faralli |
|
| 241 |
|
Relation Extraction with Self-determined Graph Convolutional Network |
|
0 |
|
Billy Chiu, Derek Thomas, Mohammady Mahdy, Neha Sengupta, Sunil Kumar Sahu |
|
| 242 |
|
Denoising Individual Bias for Fairer Binary Submatrix Detection |
|
0 |
|
Changlin Wan, Chi Zhang, Sha Cao, Tong Zhao, Wennan Chang |
|
| 243 |
|
Leveraging User Email Actions to Improve Ad-Close Prediction |
|
0 |
|
Ali Tabaja, Fiana Raiber, Natalia Silberstein, Oleg Zendel, Oren Somekh, Yaroslav Fyodorov |
|
| 244 |
|
Robust Normalized Squares Maximization for Unsupervised Domain Adaptation |
|
0 |
|
Long Lan, Qing Liao, Wenjing Yang, Wenju Zhang, Xiang Zhang, Zhigang Luo |
|
| 245 |
|
Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network |
|
0 |
|
Chaoran Cui, Jian Zong, Li Yao, Meng Chen, Yilong Yin, Yuling Ma |
|
| 246 |
|
Bid Shading in The Brave New World of First-Price Auctions |
|
0 |
|
Aaron Flores, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, Junwei Pan, Shengjun Pan, Tian Zhou |
|
| 247 |
|
Learning to Profile: User Meta-Profile Network for Few-Shot Learning |
|
0 |
|
Derek Cho, DuyKhuong Nguyen, Hao Gong, Qifang Zhao, Tianyu Li |
|
| 248 |
|
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction |
|
0 |
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Fan Wu, Haiyang Xu, Han Li, Haoqi Zhang, Jian Xu, Jin Li, Junqi Jin, Kun Gai, Liyi Guo, Rui Lu, Wenkai Lu, Zhenzhe Zheng |
|
| 249 |
|
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning |
|
0 |
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Chenxiao Xu, Feng Xue, Hao Huang, Shinjae Yoo, Tianyi Wang, Weizhong Yan |
|
| 250 |
|
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network |
|
0 |
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Haotian Li, Huamin Qu, Huan Wei, Yangqiu Song, Yong Wang |
|
| 251 |
|
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items |
|
0 |
|
Junchao Gao, Weipeng Yan, Yiding Liu, Yongjun Bao, Yulong Gu, Zhuoye Ding, Ziyi Guo |
|
| 252 |
|
An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening |
|
0 |
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Jean Louis Pépin, José F. Rodrigues Jr., Lorraine Goeuriot, Sihem AmerYahia |
|
| 253 |
|
Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns |
|
0 |
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Adir Solomon, Amit Magen, Bracha Shapira, Lior Rokach, Mor Kertis, Simo Hanouna |
|
| 254 |
|
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction |
|
0 |
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Ge Song, Guojun Wu, Hongtu Zhu, Jieping Ye, Jing He, Qichao Wang, Shikai Luo, Xiaohu Qie, Yanhua Li |
|
| 255 |
|
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users |
|
0 |
|
Junbo Zhang, Shun Chen, Sijie Ruan, Tianrui Li, Xiaodu Yang, Xiuwen Yi, Yu Zheng |
|
| 256 |
|
TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic |
|
0 |
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Dimitar Dimitrov, Erdal Baran, Matthäus Zloch, Pavlos Fafalios, Ran Yu, Stefan Dietze, Xiaofei Zhu |
|
| 257 |
|
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias |
|
0 |
|
Adam Jatowt, Michael Färber, Sora Lim, Victoria Burkard |
|
| 258 |
|
Feature Extraction for Large-Scale Text Collections |
|
0 |
|
Antonio Mallia, Berkant Barla Cambazoglu, J. Shane Culpepper, Luke Gallagher, Torsten Suel |
|
| 259 |
|
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers |
|
0 |
|
Anish Upadhayay, Duen Horng Chau, Haekyu Park, Matthew Hull, Omar Shaikh, Scott Freitas, Siwei Li, Susanta Routray, Zhiyan Zhou, Zijie J. Wang |
|
| 260 |
|
Little Ball of Fur: A Python Library for Graph Sampling |
|
0 |
|
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar |
|
| 261 |
|
GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams |
|
0 |
|
Hiroyuki Kitagawa, Komal Mariam, KyoungSook Kim, Salman Ahmed Shaikh |
|
| 262 |
|
Optimal End-Biased Histograms for Hierarchical Data |
|
0 |
|
Rachel Behar, Sara Cohen |
|
| 263 |
|
A Cost Estimation Technique for Recursive Relational Algebra |
|
0 |
|
Muideen Lawal, Nabil Layaïda, Pierre Genevès |
|
| 264 |
|
RotaryDS: Fast Storage for Massive Data Streams via a Rotation Storage Model |
|
0 |
|
Peiquan Jin, Yanqi Lv |
|
| 265 |
|
Truth be Told: Fake News Detection Using User Reactions on Reddit |
|
0 |
|
Erlend Rekve, Vinay Setty |
|
| 266 |
|
Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets |
|
0 |
|
Antoine Hom, Frédéric Precioso, Laurent Dollé, Nicolas Pasquier, Tianshu Yang |
|
| 267 |
|
Large Scale Long-tailed Product Recognition System at Alibaba |
|
0 |
|
Pan Pan, Rong Jin, Xiangzeng Zhou, Yinghui Xu, Yun Zheng |
|
| 268 |
|
Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial |
|
0 |
|
Benyu Zhang, Bingzhe Wu, Cen Chen, Chaochao Chen, Jin Tan, Jun Zhou, Lei Wang, Li Wang |
|
| 269 |
|
IDEAL: IDEntifying the User's IdeAL Tuple via Sorting in the Database |
|
0 |
|
Chen Chen, Jiping Zheng, Meijing Wang, Weijun Yan |
|
| 270 |
|
STREAMER: A Powerful Framework for Continuous Learning in Data Streams |
|
0 |
|
Cédric GouyPailler, Mohammad Alshaer, Sandra GarciaRodriguez |
|
| 271 |
|
TiCCo: Time-Centric Content Exploration |
|
0 |
|
Dennis Aumiller, Michael Gertz, Philip Hausner |
|
| 272 |
|
WebLens: Towards Interactive Large-scale Structured Data Profiling |
|
0 |
|
Michael N. Gubanov, Rituparna Khan |
|
| 273 |
|
AURORA: An Information Extraction System of Domain-specific Business Documents with Limited Data |
|
0 |
|
Bui Cong Minh, Do Hoang Thai Duong, Le Thai Linh, Le Tien Dung, MinhTien Nguyen, Nguyen Hai Phong, Nguyen Hong Son, Nguyen Huu Hiep |
|
| 274 |
|
Inside Quasimodo: Exploring Construction and Usage of Commonsense Knowledge |
|
0 |
|
Julien Romero, Simon Razniewski |
|
| 275 |
|
Sample Driven Data Mapping for Linked Data and Web APIs |
|
0 |
|
Ralf Schenkel, Tobias Zeimetz |
|
| 276 |
|
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning |
|
0 |
|
Chuan Shi, Jun Zhou, Zhiqiang Zhang |
|
| 277 |
|
SemFE: Facilitating ML Pipeline Development with Semantics |
|
0 |
|
Ahmet Soylu, Baifan Zhou, Evgeny Kharlamov, Ildar Baimuratov, Tim Pychynski, Yulia Svetashova |
|
| 278 |
|
The Battle Against Online Harmful Information: The Cases of Fake News and Hate Speech |
|
0 |
|
Anastasia Giachanou, Paolo Rosso |
|
| 279 |
|
Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses |
|
0 |
|
Bardh Prenkaj, Giovanni Stilo, Lorenzo Madeddu |
|
| 280 |
|
Ensemble Block Co-clustering: A Unified Framework for Text Data |
|
0 |
|
Lazhar Labiod, Mohamed Nadif, Séverine Affeldt |
|
| 281 |
|
Accelerating Discovery Science with an Internet of FAIR Data and Services |
|
0 |
|
Michel Dumontier |
|
| 282 |
|
Ceres: Harvesting Knowledge from the Semi-structured Web |
|
0 |
|
Xin Luna Dong |
|
| 283 |
|
Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs |
|
0 |
|
Ansgar Scherp, David Richerby, Till Blume |
|
| 284 |
|
Laconic Image Classification: Human vs. Machine Performance |
|
0 |
|
Aidan Hogan, Javier Carrasco, Jorge Pérez |
|
| 285 |
|
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis |
|
0 |
|
Erik Cambria, Frank Z. Xing, Kenneth Kwok, Soujanya Poria, Yang Li |
|
| 286 |
|
Fast and Scalable Outlier Detection with Sorted Hypercubes |
|
0 |
|
Eugênio F. Cabral, Robson L. F. Cordeiro |
|
| 287 |
|
Do People and Neural Nets Pay Attention to the Same Words: Studying Eye-tracking Data for Non-factoid QA Evaluation |
|
0 |
|
Falk Scholer, Mark Sanderson, Valeria Bolotova, Vladislav Blinov, W. Bruce Croft, Yukun Zheng |
|
| 288 |
|
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes |
|
0 |
|
Jianfeng Wen, Le Song, Shuang Li, Xiaofu Chang, Xuqin Liu, Yanming Fang, Yuan Qi |
|
| 289 |
|
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model |
|
0 |
|
Deborah L. Hall, Huan Liu, Kai Shu, Lu Cheng, Siqi Wu, Yasin N. Silva |
|
| 290 |
|
EPNet: Learning to Exit with Flexible Multi-Branch Network |
|
0 |
|
Tian Guo, Xiangnan Kong, Xin Dai |
|
| 291 |
|
Graph Prototypical Networks for Few-shot Learning on Attributed Networks |
|
0 |
|
Chenghao Liu, Huan Liu, Jianling Wang, Jundong Li, Kai Shu, Kaize Ding |
|
| 292 |
|
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder |
|
0 |
|
Mengnan Du, Shiva K. Pentyala, Xia Hu, Yuening Li |
|
| 293 |
|
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters |
|
0 |
|
Hao Peng, Li Sun, Philip S. Yu, Yingtong Dou, Yutong Deng, Zhiwei Liu |
|
| 294 |
|
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning |
|
0 |
|
Cheng Feng, Daniel Schneegass, Pengwei Tian, Xiao Liang |
|
| 295 |
|
Learning from Textual Data in Database Systems |
|
0 |
|
Maik Thiele, Michael Günther, Philipp Oehme, Wolfgang Lehner |
|
| 296 |
|
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data |
|
0 |
|
Kenny Q. Zhu, Libin Shen, Xiaoqing Geng, Xiwen Chen, Yinggong Zhao |
|
| 297 |
|
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs |
|
0 |
|
Arnab Bhattacharya, Garima Gaur, Srikanta Bedathur |
|
| 298 |
|
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction |
|
0 |
|
Chuxu Zhang, Meng Jiang, Nitesh V. Chawla, Wenhao Yu, Zhichun Guo |
|
| 299 |
|
Privacy-Preserving Classification with Secret Vector Machines |
|
0 |
|
Josep M. Pujol, Konark Modi, Robert West, Valentin Hartmann |
|
| 300 |
|
Hypergraph Random Walks, Laplacians, and Clustering |
|
0 |
|
Cheong Hee Park, Haesun Park, Koby Hayashi, Sinan G. Aksoy |
|
| 301 |
|
Learning to Selectively Update State Neurons in Recurrent Networks |
|
0 |
|
Cansu Sen, Elke A. Rundensteiner, Thomas Hartvigsen, Xiangnan Kong |
|
| 302 |
|
Image Captioning with Internal and External Knowledge |
|
0 |
|
Canlong Zhang, Feicheng Huang, Huifang Ma, Shengjia Chen, Zhixin Li |
|
| 303 |
|
MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning |
|
0 |
|
Chelsea J.T. Ju, JyunYu Jiang, Wei Wang, Zeyu Li |
|
| 304 |
|
Social Factors in Closed-Network Content Consumption |
|
0 |
|
Leonardo Neves, Maarten W. Bos, Neil Shah, Parisa Kaghazgaran |
|
| 305 |
|
Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model |
|
0 |
|
Alvis Logins, Ansh Khurana, Panagiotis Karras |
|
| 306 |
|
Extracting N-ary Facts from Wikipedia Table Clusters |
|
0 |
|
Benno Kruit, Jacopo Urbani, Peter A. Boncz |
|
| 307 |
|
MERL: Multi-View Edge Representation Learning in Social Networks |
|
0 |
|
Jennifer Neville, YiYu Lai |
|
| 308 |
|
Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation |
|
0 |
|
Byungkook Oh, DongHoon Shin, KyongHo Lee, Sanghak Lee, Seungmin Seo, Yeonsoo Lee |
|
| 309 |
|
Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies |
|
0 |
|
Changchun Li, Jihong Ouyang, Ximing Li |
|
| 310 |
|
Seed-free Graph De-anonymiztiation with Adversarial Learning |
|
0 |
|
Guangchun Luo, Guoming Lu, Kaiyang Li, Zhipeng Cai |
|
| 311 |
|
Trapping Malicious Crawlers in Social Networks |
|
0 |
|
ChulHo Lee, Do Young Eun, Shiju Li |
|
| 312 |
|
Cooperative Multi-Agent Reinforcement Learning in Express System |
|
0 |
|
Qiang Yang, Yexin Li, Yu Zheng |
|
| 313 |
|
Meta-Learning for Neural Relation Classification with Distant Supervision |
|
0 |
|
Benyou Wang, Dongsheng Li, JianYun Nie, Lixin Zou, Pan Du, Yuhan Zhang, Zhenzhen Li |
|
| 314 |
|
Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic Detection |
|
0 |
|
Bo Wang, Haocheng Wang, Hongyu Liu, Ruifang He |
|
| 315 |
|
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference |
|
0 |
|
Chao Chen, Sihong Xie, Xi Zhang, Yazheng Liu, Yifei Liu |
|
| 316 |
|
Feature Fusion Based Subgraph Classification for Link Prediction |
|
0 |
|
Chuanyou Li, Darong Lai, Meng Wang, Zheyi Liu |
|
| 317 |
|
Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions |
|
0 |
|
Degen Huang, Jun Zhao, Kaiyu Huang, Zhuang Liu, Zhuang Liu |
|
| 318 |
|
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting |
|
0 |
|
Bin Lu, Haiming Jin, Haisong Zhang, Luoyi Fu, Xiaoying Gan |
|
| 319 |
|
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification |
|
0 |
|
Chengwei Yao, Jiajun Bu, Jieyu Yang, Ning Ma, Sheng Zhou, Xifeng Yan, Zhen Zhang, Zhi Yu |
|
| 320 |
|
Hierarchical Active Learning with Overlapping Regions |
|
0 |
|
Milos Hauskrecht, Zhipeng Luo |
|
| 321 |
|
Relational Reflection Entity Alignment |
|
0 |
|
Huimin Xu, Man Lan, Wenting Wang, Xin Mao, Yuanbin Wu |
|
| 322 |
|
Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension |
|
0 |
|
Kaushal Kumar Maurya, Maunendra Sankar Desarkar |
|
| 323 |
|
A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions |
|
0 |
|
Fernando Jiménez, Hiram Ponce, Lourdes MartínezVillaseñor, Luis MirallesPechuán |
|
| 324 |
|
"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification |
|
0 |
|
Leonardo Rocha, Luiz Felipe Mendes, Marcos André Gonçalves, Thierson Couto Rosa, Washington Cunha, Wellington Martins |
|
| 325 |
|
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection |
|
0 |
|
Guanyi Mou, Kyumin Lee, Pengyi Ye |
|
| 326 |
|
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation |
|
0 |
|
Kazunari Sugiyama, MinYen Kan, Preslav Nakov, VanHoang Nguyen |
|
| 327 |
|
STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction |
|
0 |
|
Fan Zhang, Haiming Jin, Jiahui Sun, Jianqiang Huang, Junjie Ou, Xinbing Wang, Yichen Zhu, Yijuan Liu |
|
| 328 |
|
RKT: Relation-Aware Self-Attention for Knowledge Tracing |
|
0 |
|
Jaideep Srivastava, Shalini Pandey |
|
| 329 |
|
Minimal Edit-Based Diffs for Large Trees |
|
0 |
|
Mateusz Pawlik, Nikolaus Augsten |
|
| 330 |
|
Efficient Detection of Data Dependency Violations |
|
0 |
|
Edson Ramiro Lucas Filho, Eduardo C. de Almeida, Eduardo H. M. Pena, Felix Naumann |
|
| 331 |
|
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed |
|
0 |
|
Cheonbok Park, Chunggi Lee, Hyojin Bahng, Jaegul Choo, Kihwan Kim, Seungmin Jin, Sungahn Ko, Yunwon Tae |
|
| 332 |
|
EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters |
|
0 |
|
Apoorva Upadhyaya, Joydeep Chandra, Manish Bhanu, Shalini Priya, Sourav Kumar Dandapat |
|
| 333 |
|
Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing |
|
0 |
|
Anna Cinzia Squicciarini, Ce Pang, Chenxi Qiu, Li Yan, Zhuozhao Li |
|
| 334 |
|
Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis |
|
0 |
|
Jian Lou, Joyce C. Ho, Li Xiong, Yifei Ren |
|
| 335 |
|
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? |
|
0 |
|
Beatrice Portelli, Damiano Spina, Gianluca Demartini, Giuseppe Serra, Kevin Roitero, Michael Soprano, Stefano Mizzaro, Vincenzo Della Mea |
|
| 336 |
|
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models |
|
0 |
|
Benedek Rozemberczki, Rik Sarkar |
|
| 337 |
|
A GAN-based Framework for Modeling Hashtag Popularity Dynamics Using Assistive Information |
|
0 |
|
Avirup Saha, Niloy Ganguly |
|
| 338 |
|
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing |
|
0 |
|
Chuheng Zhang, Qiang Ni, Wanchun Dou, Wei Shen, Xiaonan He, Yan Wang |
|
| 339 |
|
Neural Logic Reasoning |
|
0 |
|
Hanxiong Chen, Jiaxin Mao, Min Zhang, Shaoyun Shi, Weizhi Ma, Yongfeng Zhang |
|
| 340 |
|
Anomaly Subgraph Detection with Feature Transfer |
|
0 |
|
Nannan Wu, Wei Yu, Wenjun Wang, Xue Chen, Ying Sun |
|
| 341 |
|
OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors |
|
0 |
|
Haibo Hu, Li Tang |
|
| 342 |
|
QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection |
|
0 |
|
Binxing Fang, Tian Tian, Xi Zhang, Xiaoyu Yang, Yudong Liu, Yuefei Lyu |
|
| 343 |
|
Semi-Supervised Max-Sum Clustering |
|
0 |
|
Konstantin Voevodski |
|
| 344 |
|
Soap: Soaking Capacity Optimization for Multi-Document Summarization |
|
0 |
|
Baobao Chang, Kexiang Wang, Zhifang Sui |
|
| 345 |
|
Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion |
|
0 |
|
Ke Zhou, Xiaocui Li, Yangtao Wang, Yanzhao Xie, Yu Liu |
|
| 346 |
|
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning |
|
0 |
|
Fenglong Ma, Jing Gao, Yaqing Wang |
|
| 347 |
|
Succinct Adaptive Manifold Transfer |
|
0 |
|
Pengfei Wei, TzeYun Leong, Yiping Ke, Zhiqiang Xu |
|
| 348 |
|
Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction |
|
0 |
|
Ben Y. Zhao, Qinge Xie, Tiancheng Guo, Xin Wang, Yang Chen, Yu Xiao |
|
| 349 |
|
OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection |
|
0 |
|
Haolong Xiang, Lianyong Qi, Wanchun Dou, Xiaolong Xu, Xuyun Zhang, Zoran Salcic |
|
| 350 |
|
Controllable Multi-Character Psychology-Oriented Story Generation |
|
0 |
|
Feifei Xu, Haizhou Du, Shanlin Zhou, Volker Tresp, Xinpeng Wang, Yunpu Ma, Yuyi Wang |
|
| 351 |
|
Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web |
|
0 |
|
Giovanni Campagna, Jian Li, Monica S. Lam, Silei Xu |
|
| 352 |
|
NHP: Neural Hypergraph Link Prediction |
|
0 |
|
Anand Louis, Madhav Nimishakavi, Naganand Yadati, Partha P. Talukdar, Prateek Yadav, Vikram Nitin |
|
| 353 |
|
Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes |
|
0 |
|
Emilio Ferrara, HsienTe Kao, Shen Yan |
|
| 354 |
|
LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction |
|
0 |
|
Guozheng Li, Haoyuan Hu, Rongqi Li, Xiaodong Zhang, Yichen Yao, Yinghui Xu, Yinzhi Zhou, Yujie Chen |
|
| 355 |
|
Logic Enhanced Commonsense Inference with Chain Transformer |
|
0 |
|
Chenxi Yuan, Chun Yuan, Yang Bai, Ziran Li |
|
| 356 |
|
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning |
|
0 |
|
Chang Liu, Guanjie Zheng, Huichu Zhang, Weinan Zhang, Yong Yu |
|
| 357 |
|
A Feature-Importance-Aware and Robust Aggregator for GCN |
|
0 |
|
Haiping Lu, Li Zhang |
|
| 358 |
|
Generating Categories for Sets of Entities |
|
0 |
|
Jamie Callan, Krisztian Balog, Shuo Zhang |
|
| 359 |
|
CommDGI: Community Detection Oriented Deep Graph Infomax |
|
0 |
|
Jiawei Zhang, Tianqi Zhang, Yangyong Zhu, Yao Zhang, Yizhu Jiao, Yun Xiong |
|
| 360 |
|
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting |
|
0 |
|
Chao Huang, Lianghao Xia, Xiyue Zhang, Yong Xu |
|
| 361 |
|
Semi-Supervised Graph-to-Graph Translation |
|
0 |
|
Suhang Wang, Tianxiang Zhao, Xianfeng Tang, Xiang Zhang |
|
| 362 |
|
Error-Bounded Graph Anomaly Loss for GNNs |
|
0 |
|
Chuchen Deng, Daheng Wang, Kaifeng Yu, Meng Jiang, Tianwen Jiang, Tong Zhao |
|
| 363 |
|
Top-k Graph Summarization on Hierarchical DAGs |
|
0 |
|
Byron Choi, Jianliang Xu, Xin Huang, Xuliang Zhu |
|
| 364 |
|
Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures |
|
0 |
|
Justin Zobel, Lida Rashidi |
|
| 365 |
|
Application Performance Anomaly Detection with LSTM on Temporal Irregularities in Logs |
|
0 |
|
Josiane Mothe, Oihana Coustié, Olivier Teste, Xavier Baril |
|
| 366 |
|
NumClaim: Investor's Fine-grained Claim Detection |
|
0 |
|
ChungChi Chen, HenHsen Huang, HsinHsi Chen |
|
| 367 |
|
Label-Aware Graph Convolutional Networks |
|
0 |
|
Feiran Huang, Hao Chen, Peng He, Senzhang Wang, Wenbing Huang, Yue Xu, Zengde Deng, Zhoujun Li |
|
| 368 |
|
Graph Unfolding Networks |
|
0 |
|
Fuchun Sun, Hao Chen, Wenbing Huang, Yue Xu, Zhoujun Li |
|
| 369 |
|
Generative Adversarial Attributed Network Anomaly Detection |
|
0 |
|
Bo Liu, Jun Lv, Liefeng Bo, Meiqing Wang, Peng Dai, Zhenxing Chen |
|
| 370 |
|
Learning Discriminative Virtual Sequences for Time Series Classification |
|
0 |
|
Abhilash Dorle, Fangyu Li, Sheng Li, Wenzhan Song |
|
| 371 |
|
DECWA: Density-Based Clustering using Wasserstein Distance |
|
0 |
|
Franck Ravat, Nabil El Malki, Olivier Teste, Robin Cugny |
|
| 372 |
|
A Reinforced Semi-supervised Neural Network for Helpful Review Identification |
|
0 |
|
Miao Fan, Mingming Sun, Ping Li, Yue Feng |
|
| 373 |
|
Can Adversarial Weight Perturbations Inject Neural Backdoors |
|
0 |
|
Adarsh Kumar, Siddhant Garg, Vibhor Goel, Yingyu Liang |
|
| 374 |
|
Learning to Form Skill-based Teams of Experts |
|
0 |
|
Ebrahim Bagheri, Hossein Fani, Jaroslaw Szlichta, Mehdi Kargar, Radin Hamidi Rad |
|
| 375 |
|
GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion |
|
0 |
|
Changsheng Xu, Jun Hu, Quan Fang, Shengsheng Qian, Yanfei Han |
|
| 376 |
|
T-REX: A Topic-Aware Relation Extraction Model |
|
0 |
|
Kyuseok Shim, Woohwan Jung |
|
| 377 |
|
CR-Graph: Community Reinforcement for Accurate Community Detection |
|
0 |
|
Jun Seok Lee, SangWook Kim, WonYong Shin, Yoonsuk Kang |
|
| 378 |
|
A Synopses Data Engine for Interactive Extreme-Scale Analytics |
|
0 |
|
Antonios Deligiannakis, Antonis Kontaxakis, Nikos Giatrakos |
|
| 379 |
|
An Index Advisor Using Deep Reinforcement Learning |
|
0 |
|
Hai Lan, Yuwei Peng, Zhifeng Bao |
|
| 380 |
|
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning |
|
0 |
|
Doron Laadan, Gilad Katz, Lior Rokach, Roman Vainshtein, Yarden Curiel |
|
| 381 |
|
Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation |
|
0 |
|
Jia Wang, Jiannong Cao, Wengen Li, Yu Yang, Zhongyu Yao, Zhuo Li |
|
| 382 |
|
Non-local Self-attentive Autoencoder for Genetic Functionality Prediction |
|
0 |
|
Lina Yao, Yun Li, Zhe Liu, Zihuai He |
|
| 383 |
|
Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment |
|
0 |
|
Jiayu Tang, Jinghua Feng, Qing He, Qiwei Zhong, Xiang Ao, Yang Liu |
|
| 384 |
|
Neural Relation Extraction on Wikipedia Tables for Augmenting Knowledge Graphs |
|
0 |
|
Denilson Barbosa, Erin MacDonald |
|
| 385 |
|
Fairness-Aware Learning with Prejudice Free Representations |
|
0 |
|
Mohit Wadhwa, Ramanujam Madhavan |
|
| 386 |
|
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models |
|
0 |
|
Abhishek Nadgeri, Chaitali Prabhu, Isaiah Onando Mulang', Jens Lehmann, Johannes Hoffart, Kuldeep Singh |
|
| 387 |
|
Training Sensitivity in Graph Isomorphism Network |
|
0 |
|
Md. Khaledur Rahman |
|
| 388 |
|
Securing Bloom Filters for Privacy-preserving Record Linkage |
|
0 |
|
Rainer Schnell, Thilina Ranbaduge |
|
| 389 |
|
Modelling Regional Crime Risk using Directed Graph of Check-ins |
|
0 |
|
Flora D. Salim, Shakila Khan Rumi |
|
| 390 |
|
A Framework for Analyzing the Impact of Missing Data in Predictive Models |
|
0 |
|
Eduardo C. de Almeida, Eduardo H. M. Pena, Fabiola Santore, Luiz Eduardo Soares de Oliveira, Wagner Hugo Bonat |
|
| 391 |
|
GGDs: Graph Generating Dependencies |
|
0 |
|
George Fletcher, Larissa Capobianco Shimomura, Nikolay Yakovets |
|
| 392 |
|
Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS |
|
0 |
|
Hyekyoung Park, Junho Song, Kyungsik Han, SangWook Kim |
|
| 393 |
|
LogBug: Generating Adversarial System Logs in Real Time |
|
0 |
|
Bingyu Liu, Jingyu Sun, Yuan Hong |
|
| 394 |
|
Calibration of Google Trends Time Series |
|
0 |
|
Robert West |
|
| 395 |
|
Tolerant Markov Boundary Discovery for Feature Selection |
|
0 |
|
Bingbing Jiang, Huanhuan Chen, Xingyu Wu, Yan Zhong |
|
| 396 |
|
Enhance Prototypical Network with Text Descriptions for Few-shot Relation Classification |
|
0 |
|
Jiajun Chen, Kaijia Yang, Liang He, Nantao Zheng, Shujian Huang, Xinyu Dai |
|
| 397 |
|
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions |
|
0 |
|
Feng Yu, Haoli Zhang, Liang Wang, Qiang Liu, Shu Wu, Zhaocheng Liu |
|
| 398 |
|
Few-shot Insider Threat Detection |
|
0 |
|
Hanghang Tong, Panpan Zheng, Shuhan Yuan, Xintao Wu |
|
| 399 |
|
Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging |
|
0 |
|
Cheng Zhang, Xiaodong Yue, Ying Lv, Yufei Chen |
|
| 400 |
|
Hyper-Substructure Enhanced Link Predictor |
|
0 |
|
Jian Zhang, Jinyin Chen, Jun Zheng, Qi Xuan |
|
| 401 |
|
Seasonal-Periodic Subgraph Mining in Temporal Networks |
|
0 |
|
Deke Guo, Qianzhen Zhang, Xi Wang, Xiang Zhao, Xinyi Li |
|
| 402 |
|
Community Identification in Signed Networks: A K-Truss Based Model |
|
0 |
|
Chen Chen, Jun Zhao, Qiuyu Zhu, Renjie Sun, Xiaoyang Wang |
|
| 403 |
|
Data Augmentation for Graph Classification |
|
0 |
|
Jiajun Zhou, Jie Shen, Qi Xuan |
|
| 404 |
|
On-demand Influencer Discovery on Social Media |
|
0 |
|
Cheng Zheng, Qin Zhang, Sean D. Young, Wei Wang |
|
| 405 |
|
Multimodal Clustering via Deep Commonness and Uniqueness Mining |
|
0 |
|
Bo Xu, Faqiang Miao, Linlin Zong, Xianchao Zhang |
|
| 406 |
|
An Empirical Study on Clarifying Question-Based Systems |
|
0 |
|
Evangelos Kanoulas, Jie Zou, Yiqun Liu |
|
| 407 |
|
The Utility of Context When Extracting Entities From Legal Documents |
|
0 |
|
Adam Roegiest, Jonathan Donnelly |
|
| 408 |
|
Fine-Tuned Compressed Representations of Vessel Trajectories |
|
0 |
|
Alexander Artikis, Georgios Paliouras, Giannis Fikioris, Kostas Patroumpas, Manolis Pitsikalis |
|
| 409 |
|
Impression Pacing for Jobs Marketplace at LinkedIn |
|
0 |
|
Florian Raudies, Jianqiang Shen, Luthfur Chowdhury, Sahin Cem Geyik, Wen Pu |
|
| 410 |
|
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators |
|
0 |
|
Da Yan, Sibo Yan, Yuechun Gu, Zhe Jiang |
|
| 411 |
|
Loan Default Analysis with Multiplex Graph Learning |
|
0 |
|
Binbin Hu, Jingli Fang, Jun Zhou, Quan Yu, Quanhui Jia, Yanming Fang, Yuan Qi, Zhiqiang Zhang |
|
| 412 |
|
Learning Effective Representations for Person-Job Fit by Feature Fusion |
|
0 |
|
Jingran Xu, Junshu Jiang, Songyun Ye, Wei Wang, Xiaosheng Luo |
|
| 413 |
|
Two-Stage Audience Expansion for Financial Targeting in Marketing |
|
0 |
|
Chenyi Zhuang, Guannan Zhang, Jinjie Gu, XiaoFan Niu, Yixiang Mu, Yize Tan, Zhining Liu |
|
| 414 |
|
Efficiently Training Intelligible Models for Global Explanations |
|
0 |
|
Shiwei Liang, Yang Dong, Yin Lou, Yongliang Wang |
|
| 415 |
|
Expert-in-the-loop AI for Polymer Discovery |
|
0 |
|
Anna Lisa Gentile, Daniel Gruhl, Daniel P. Sanders, Dmitry Yu. Zubarev, Linda Kato, Nathaniel Park, Petar Ristoski, Steve Welch |
|
| 416 |
|
Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation |
|
0 |
|
Nick Fletcher, Shameek Ghosh, Suhrid Satyal |
|
| 417 |
|
ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems |
|
0 |
|
Daewon Chung, Myeong Shin Lee, Okchul Jung, Sangyup Lee, Shahroz Tariq, Simon S. Woo, Youjin Shin |
|
| 418 |
|
Detection of Novel Social Bots by Ensembles of Specialized Classifiers |
|
0 |
|
Alessandro Flammini, Filippo Menczer, KaiCheng Yang, Mohsen Sayyadiharikandeh, Onur Varol |
|
| 419 |
|
LiFT: A Scalable Framework for Measuring Fairness in ML Applications |
|
0 |
|
Krishnaram Kenthapadi, Sriram Vasudevan |
|
| 420 |
|
AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach |
|
0 |
|
Ilya Safro, Ilya Tyagin, Justin Sybrandt, Michael Shtutman |
|
| 421 |
|
Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach |
|
0 |
|
Cheng Long, Liang Yu, Nan Hu, Nan Xiao |
|
| 422 |
|
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising |
|
0 |
|
Qing Li, Shangsong Liang, Tianjun Yao, Yadong Zhu |
|
| 423 |
|
Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner |
|
0 |
|
Kenneth A. Loparo, Mingxuan Ju, Qian Peng, Shifu Hou, Shiyu Sun, Wei Song, Yanfang Ye, Yiming Zhang, Yiyue Qian, Yujie Fan |
|
| 424 |
|
Elevated Road Network: A Metric Learning Method for Recognizing Whether a Vehicle is on an Elevated Road |
|
0 |
|
Fan Chen, Hailiang Xu, Jia Sun, Jian Yang, Leiyun Li, Xiaobing Zhang |
|
| 425 |
|
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities |
|
0 |
|
Endri Kacupaj, Golsa Tahmasebzadeh, Jason Armitage, Jens Lehmann, Maria Maleshkova, Ralph Ewerth, Swati |
|
| 426 |
|
GeoLink Cruises: A Non-Synthetic Benchmark for Co-Reference Resolution on Knowledge Graphs |
|
0 |
|
Lu Zhou, Pascal Hitzler, Reihaneh Amini |
|
| 427 |
|
CauseNet: Towards a Causality Graph Extracted from the Web |
|
0 |
|
AxelCyrille Ngonga Ngomo, Henning Wachsmuth, Martin Potthast, Stefan Heindorf, Yan Scholten |
|
| 428 |
|
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs |
|
0 |
|
David ChavesFraga, Diego Collarana, Enrique Iglesias, MariaEsther Vidal, Samaneh Jozashoori |
|
| 429 |
|
Web Page Segmentation Revisited: Evaluation Framework and Dataset |
|
0 |
|
Benno Stein, Florian Kneist, Johannes Kiesel, Kristof Komlossy, Lars Meyer, Martin Potthast |
|
| 430 |
|
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction |
|
0 |
|
Barry Smyth, Jiazheng Li, Linyi Yang, Ruihai Dong |
|
| 431 |
|
The Newspaper Navigator Dataset: Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America |
|
0 |
|
Benjamin Charles Germain Lee, Chris Adams, Daniel S. Weld, Deborah Thomas, Eileen Jakeway, Jaime Mears, Kate Zwaard, Meghan Ferriter, Nathan Yarasavage |
|
| 432 |
|
CC-News-En: A Large English News Corpus |
|
0 |
|
Alistair Moffat, J. Shane Culpepper, Joel M. Mackenzie, Johanne R. Trippas, Matthias Petri, Rodger Benham |
|
| 433 |
|
PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning |
|
0 |
|
Anton PeraireBueno, Lalana Kagal, Vaikkunth Mugunthan |
|
| 434 |
|
ContentWise Impressions: An Industrial Dataset with Impressions Included |
|
0 |
|
Fernando Benjamín Pérez Maurera, Lorenzo Saule, Mario Scriminaci, Maurizio Ferrari Dacrema, Paolo Cremonesi |
|
| 435 |
|
A Large Test Collection for Entity Aspect Linking |
|
0 |
|
Jordan Ramsdell, Laura Dietz |
|
| 436 |
|
A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments? |
|
0 |
|
Julian Risch, Ralf Krestel |
|
| 437 |
|
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata |
|
0 |
|
Ahmad Sakor, Anery Patel, Kuldeep Singh, MariaEsther Vidal |
|
| 438 |
|
Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs |
|
0 |
|
Benedek Rozemberczki, Oliver Kiss, Rik Sarkar |
|
| 439 |
|
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs |
|
0 |
|
Elena Demidova, Simon Gottschalk, Tarcísio Souza Costa |
|
| 440 |
|
BioKG: A Knowledge Graph for Relational Learning On Biological Data |
|
0 |
|
Brian Walsh, Sameh K. Mohamed, Vít Novácek |
|
| 441 |
|
Flexible IR Pipelines with Capreolus |
|
0 |
|
Andrew Yates, Jimmy Lin, Kevin Martin Jose, Xinyu Zhang |
|
| 442 |
|
The Enslaved Dataset: A Real-world Complex Ontology Alignment Benchmark using Wikibase |
|
0 |
|
Alicia M. Sheill, Catherine Foley, Cogan Shimizu, Dean Rehberger, Duncan Tarr, Lu Zhou, Pascal Hitzler, Seila Gonzalez Estrecha |
|
| 443 |
|
Detecting and Measuring the Exposure of Children and Adolescents to Inappropriate Comments in YouTube |
|
0 |
|
Sultan Alshamrani |
|
| 444 |
|
Computational Approaches for Drug Repositioning: Towards a Holistic Perspective based on Knowledge Graphs |
|
0 |
|
Marina Boudin |
|
| 445 |
|
Synthesis of Dependent Multichannel ECG using Generative Adversarial Networks |
|
0 |
|
Eoin Brophy |
|
| 446 |
|
Controlling Patent Text Generation by Structural Metadata |
|
0 |
|
JiehSheng Lee |
|
| 447 |
|
Neural (Knowledge Graph) Question Answering Using Synthetic Training Data |
|
0 |
|
Trond Linjordet |
|
| 448 |
|
Automatic Contextual Storytelling in a Natural Language Corpus |
|
0 |
|
Ishrat Rahman Sami |
|
| 449 |
|
Improving Anchor-based Explanations |
|
0 |
|
Christine Largouët, Julien Delaunay, Luis Galárraga |
|
| 450 |
|
Towards Inferring Queries from Simple and Partial Provenance Examples |
|
0 |
|
Amir Gilad, Yuval Moskovitch |
|
| 451 |
|
Enhanced Story Representation by ConceptNet for Predicting Story Endings |
|
0 |
|
Kenny Q. Zhu, Libin Shen, Qianzi Liao, Shanshan Huang, Yinggong Zhao |
|
| 452 |
|
Autonomous Predictive Modeling via Reinforcement Learning |
|
0 |
|
Horst Samulowitz, Udayan Khurana |
|
| 453 |
|
A Human-in-the-Loop Approach to Malware Author Classification |
|
0 |
|
DongKyu Chae, Eujeanne Kim, SangWook Kim, Seokwoo Choi, SungJun Park |
|
| 454 |
|
Deriving Geolocations in Wikipedia |
|
0 |
|
Amir Krause, Sara Cohen |
|
| 455 |
|
ALEX: Active Learning based Enhancement of a Classification Model's EXplainability |
|
0 |
|
Debasis Ganguly, Ishani Mondal |
|
| 456 |
|
Structured Knowledge: Have we made progress? An extrinsic study of KB coverage over 19 years |
|
0 |
|
Priyanka Das, Simon Razniewski |
|
| 457 |
|
Diverse Enumeration of Maximal Cliques |
|
0 |
|
Liron Sade, Sara Cohen |
|
| 458 |
|
Exploiting Common Neighbor Graph for Link Prediction |
|
0 |
|
Hao Tian, Reza Zafarani |
|
| 459 |
|
Maximum Signed (k, r)-Truss Identification in Signed Networks |
|
0 |
|
Chen Chen, Qiuyu Zhu, Renjie Sun, Xiaoyang Wang, Yanping Wu |
|
| 460 |
|
Smarter and Safer Traffic Signal Controlling via Deep Reinforcement Learning |
|
0 |
|
Bingquan Yu, Jiangfeng Li, Jinqiu Guo, Qinpei Zhao, Weixiong Rao |
|
| 461 |
|
OFFER: A Motif Dimensional Framework for Network Representation Learning |
|
0 |
|
Feng Xia, Ivan Lee, Jin Xu, Shuo Yu, Zhikui Chen |
|
| 462 |
|
Gtensor: Fast and Accurate Tensor Analysis System using GPUs |
|
0 |
|
Dawon Ahn, Sangjun Son, U Kang |
|
| 463 |
|
PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries |
|
0 |
|
Abir Farouzi, Carlos Ordonez, Gopal Pandurangan, Ladjel Bellatreche, Mimoun Malki |
|
| 464 |
|
Vallum-Med: Protecting Medical Data in Cloud Environments |
|
0 |
|
Altigran S. da Silva, André Carvalho, André Martin, Christof Fetzer, Ignacio Blanquer, Ronny Peterson |
|
| 465 |
|
INforE: Interactive Cross-platform Analytics for Everyone |
|
0 |
|
Alkis Simitsis, Antonios Deligiannakis, Antonis Kontaxakis, Aris Konidaris, Arnau Montagud, David Arnu, Edwin Yaqub, Fabian Temme, George Stamatakis, Holger Arndt, Mate Torok, Miguel Ponce de Leon, Minos N. Garofalakis, Nikos Giatrakos, Ralf Klinkenberg, Stefan Burkard, Theodoros Bitsakis, Vasilis Samoladas, Yannis Kotidis |
|
| 466 |
|
Weaving Text into Tables |
|
0 |
|
Dhruv Gupta, Klaus Berberich |
|
| 467 |
|
Multimodal Knowledge Graph for Deep Learning Papers and Code |
|
0 |
|
Aditi Roy, Amar Viswanathan Kannan, Arnav V. Malawade, Arquimedes Canedo, Dmitriy Fradkin, Ioannis Akrotirianakis, Mohammad Abdullah Al Faruque, ShihYuan Yu, Tugba Kulahcioglu |
|
| 468 |
|
UWKGM: A Modular Platform for Knowledge Graph Management |
|
0 |
|
Natthawut Kertkeidkachorn, Rungsiman Nararatwong, Ryutaro Ichise |
|
| 469 |
|
M-Cypher: A GQL Framework Supporting Motifs |
|
0 |
|
Hongtai Cao, Kevin ChenChuan Chang, Matin Najafi, Reynold Cheng, Xiaodong Li, Xiaolin Han |
|
| 470 |
|
Visualet: Visualizing Shapelets for Time Series Classification |
|
0 |
|
Byron Choi, Grace LaiHung Wong, Guozhong Li, KwokPan Chun, Shiwen Li, Sourav S. Bhowmick |
|
| 471 |
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PrivacyCheck v2: A Tool that Recaps Privacy Policies for You |
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0 |
|
Alex Issa, Ayush Srivastava, Isabelle Rogers, Jake Nimergood, K. Suzanne Barber, Razieh Nokhbeh Zaeem, Safa Anya, Vinay Shah |
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| 472 |
|
A Toolkit for Managing Multiple Crowdsourced Top-K Queries |
|
0 |
|
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng |
|
| 473 |
|
Attribution IQ: Scalable Game Theoretic Attribution in Web Analytics |
|
0 |
|
Ivan Andrus, Ritwik Sinha, Trevor Paulsen |
|
| 474 |
|
April: An Automatic Graph Data Management System Based on Reinforcement Learning |
|
0 |
|
Haoqi Zhang, Hongzhi Wang, Junfei Ouyang, Lei Zheng, Shirong Liu, Xiangxi Zhang, Yun Feng, Zhixin Qi, Ziming Shen |
|
| 475 |
|
UI-FAME: A High-Performance Forgetting System for Creating Views of Ontologies |
|
0 |
|
Chang Lu, Hao Feng, Wenxing Deng, Xuan Wu, Yizheng Zhao |
|
| 476 |
|
InterNet: Multistep Traffic Forecasting by Interacting Spatial and Temporal Features |
|
0 |
|
Cheqing Jin, Dezhuang Miao, Mengxia Zhu, Xuesong Lu, Yilian Xin |
|
| 477 |
|
Active Hazard Observation via Human in the Loop Social Media Analytics System |
|
0 |
|
Jedsada Phengsuwan, Nipun Balan Thekkummal, Philip James, Pooja jamathiChidananda, Rajiv Ranjan, Rui Sun, Tejal Shah, Zhenyu Wen |
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| 478 |
|
Towards Rich Qery Blockchain Database |
|
0 |
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Aoying Zhou, Cheqing Jin, Gang Qin, Yanchao Zhu, Yingjie Yang, Zhao Zhang |
|
| 479 |
|
Neural Bayesian Information Processing |
|
0 |
|
JenTzung Chien |
|
| 480 |
|
Compression of Deep Learning Models for NLP |
|
0 |
|
Kedhar Nath Narahari, Manish Gupta, Sonam Damani, Vasudeva Varma |
|
| 481 |
|
Knowledge Graphs: A Tutorial on the History of Knowledge Graph's Main Ideas |
|
0 |
|
Claudio Gutierrez, Juan F. Sequeda |
|
| 482 |
|
Fairness in Unsupervised Learning |
|
0 |
|
Deepak P, Joemon M. Jose, Sanil V |
|
| 483 |
|
IoT Data Quality |
|
0 |
|
Aoqian Zhang, Shaoxu Song |
|
| 484 |
|
Introduction to Computer Vision and Realtime Deep Learning-based Object Detection |
|
0 |
|
James G. Shanahan |
|
| 485 |
|
DataMod2020: 9th International Symposium "From Data to Models and Back" |
|
0 |
|
Giovanna Broccia, Juliana Bowles, Mirco Nanni |
|
| 486 |
|
Network Alignment: Recent Advances and Future Directions |
|
0 |
|
Hanghang Tong, Si Zhang |
|
| 487 |
|
On the Knowledge-Driven Analytics and Systems Impacting Human Quality of Life |
|
0 |
|
Antonio Jara, Arijit Ukil, John R. Farserotu, Leandro Marín |
|