Graph Neural Network Library for PyTorch
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Updated
Sep 29, 2026 - Python
Graph Neural Network Library for PyTorch
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
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
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
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
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)
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
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