Popular GitHub Repositories for Pytorch Geometric

An autoML framework & toolkit for machine learning on graphs.

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)

Free hands-on course about Graph Neural Networks using PyTorch Geometric.

Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.

gRNAde: Geometric Deep Learning for 3D RNA inverse design (ICLR 2025 Spotlight)

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

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

B站GNN教程资料

Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.

[EMNLP2023] Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality Interaction

A PyTorch Geometric implementation of SimGNN with some extensions.

GraphCON (ICML 2022)

Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Gradient gating (ICLR 2023)

Locally Private Graph Neural Networks (ACM CCS 2021)

A package for benchmarking synthetic relational data generation methods