pyg-lib

Installation

We provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.10 till 3.14, see here.

To install the wheels, simply run

pip install pyg-lib -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.html

where

${TORCH} should be replaced by either 2.9.0, 2.10.0, 2.11.0, or 2.12.0
${CUDA} should be replaced by either cpu, cu126, cu128, cu130, or cu132

The following combinations are supported:

PyTorch Nightly	`cpu`	`cu126`	`cu130`	`cu132`
Linux	✅	✅	✅	✅
Windows	✅	✅	✅	✅
macOS

PyTorch 2.11	`cpu`	`cu126`	`cu128`	`cu130`
Linux	✅	✅	✅	✅
Windows	✅	✅	✅	✅
macOS	✅

PyTorch 2.10	`cpu`	`cu126`	`cu128`	`cu130`
Linux	✅	✅	✅	✅
Windows	✅	✅	✅	✅
macOS	✅

PyTorch 2.9	`cpu`	`cu126`	`cu128`	`cu130`
Linux	✅	✅	✅	✅
Windows	✅	✅	✅	✅
macOS	✅

Nightly wheels are provided for Linux from Python 3.10 till 3.14:

pip install pyg-lib -f https://data.pyg.org/whl/nightly/torch-${TORCH}+${CUDA}.html

pip install ninja wheel
pip install --no-build-isolation git+https://github.com/pyg-team/pyg-lib.git