Graph Neural Network Library for PyTorch
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Updated
Jul 22, 2024 - 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.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Python package for graph neural networks in chemistry and biology
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
TypeDB-ML is the Machine Learning integrations library for TypeDB
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
A PyTorch Graph Neural Network Library
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
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)
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
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
Implementation of "Deep Graph Matching Consensus" in PyTorch
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