Graph Convolutional Networks Python Packages

torch-geometric

Graph Neural Network Library for PyTorch

pyg-nightly

Graph Neural Network Library for PyTorch

torch-geometric-temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

graphpro

A python module to handle graph protein data

mlconfgen

A tool for spatially-aware molecule design and optimisation via Equivariant Diffusion and GCN

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

stellargraph

StellarGraph - Machine Learning on Graphs

pacman-charge

A fast and accurate model to estimate DFT quality partial atomic charges of periodic materials

fennlp

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

cellsnap

A package for enhancing single-cell population delineation by integrating cross-domain information.

grakn-kglib

TypeDB-ML is the Machine Learning integrations library for TypeDB

greatx

Arms Race in Adversarial Graph Learning

pyg-library

Low-Level Graph Neural Network Operators for PyG

garnn

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

celllens

CellLENS: Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data

graphzoo

A hyperbolic toolkit

graphwar

Arms Race in Adversarial Graph Learning

stellargraph-mvisani

Python library for machine learning on graphs

typedb-ml

A Machine Learning Library for TypeDB.

euler-gl

A distributed graph deep learning framework.

euler2-gl

A distributed graph deep learning framework.