Graph Neural Network Library for PyTorch
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Updated
Apr 4, 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://un5gmtkzgk7vyu45zrzberhh.julianrbryant.com
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://un5gmtkzgk7vyu45zrzberhh.julianrbryant.com
TypeDB-ML is the Machine Learning integrations library for TypeDB
Equivariant Steerable CNNs Library for Pytorch https://uhm6mngrgygq3qf4hk2zcphc7zg0m.julianrbryant.com/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
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
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.
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