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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
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)
GraphGallery is a gallery for benchmarking Graph Neural Networks
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
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