Graph Neural Network Library for PyTorch

Temporal Graph Benchmark project repo

Benchmark datasets, data loaders, and evaluators for graph machine learning

TGB baselines for dynamic link property prediction

Sample code for Constrained Graph Variational Autoencoders

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Strategies for Pre-training Graph Neural Networks

Convolutional nets which can take molecular graphs of arbitrary size as input.

FAIR Chemistry's library of machine learning methods for chemistry

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

RelBench: Relational Deep Learning Benchmark

PyTorch compiler test for gather_scatter