Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
MIT License
Statistics for this project are still being loaded, please check back later.
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Emb...
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Benchmarking framework for protein representation learning. Includes a large number of pre-traini...
Graph Neural Network Library for PyTorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
Network-to-Network Translation with Conditional Invertible Neural Networks
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2...
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models ...
Protein Graph Library
[ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI
Transformers are Graph Neural Networks!
Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on...