CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
An autoML framework & toolkit for machine learning on graphs.
Protein Graph Library
Geometric GNN Dojo provides unified implementations and experiments to e...
Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
The official implementation for ICLR23 spotlight paper "DIFFormer: Scala...
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2...
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A ...
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the met...
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
A personal research and development (R&D) lab that facilitates the shari...
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and B...
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Ne...
Making self-supervised learning work on molecules by using their 3D geom...
gRNAde: Geometric Deep Learning for RNA Design