Graph Neural Network Library for PyTorch
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Updated
Jun 12, 2024 - Python
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
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Python package for graph neural networks in chemistry and biology
PyTorch Extension Library of Optimized Graph Cluster Algorithms
Protein Graph Library
A library for differentiable robotics.
TypeDB-ML is the Machine Learning integrations library for TypeDB
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
Implementation of "Deep Graph Matching Consensus" in PyTorch
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
Implementation of "Overlapping Community Detection with Graph Neural Networks"
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