Graph Neural Network Library for PyTorch

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

StellarGraph - Machine Learning on Graphs

Convolutional Neural Network for 3D meshes in PyTorch

A library for differentiable robotics on manifolds.

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Protein Graph Library

PyTorch Extension Library of Optimized Graph Cluster Algorithms

Python package for graph neural networks in chemistry and biology

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

TypeDB-ML is the Machine Learning integrations library for TypeDB

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

Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

GraphGallery is a gallery for benchmarking Graph Neural Networks

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

A PyTorch Graph Neural Network Library

Geometric Deep Learning for Flux

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

gRNAde is a Generative AI framework for inverse design of 3D RNA structure and function

A curated list of topological deep learning (TDL) resources and links.

[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Implementation of "Deep Graph Matching Consensus" in PyTorch

Geometric Latent Diffusion Models for 3D Molecule Generation