There is a well-established ecosystem of libraries and OS tools available built on top of PyG. Here are some of the popular ones:


Graph Learning library that makes distributed training easy, simple, and performant


Framework and toolkit for out-of-the-box machine learning algorithms built on top of PyG

DIG (Dive-into-Graphs)

High-level graph functionality including graph generation, self-supervised learning, explainability, graph learning on 3D Graphs, and graph OOD

PyTorch Geometric Temporal

Temporal GNNs for spatial-temporal tasks


Python library for graph outlier and anomaly detection

FedGraphNN (FedML)

Federated learning platform for GNNs

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