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

GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and their conformations

deeprobust

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

pacman-charge

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

stellargraph

StellarGraph - Machine Learning on Graphs

mlconfgen

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

cellsnap

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

fennlp

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

grakn-kglib

TypeDB-ML is the Machine Learning integrations library for TypeDB

celllens

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

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.

greatx

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

graphwar

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

typedb-ml

TypeDB-ML is the Machine Learning integrations library for TypeDB

graphzoo

Facilitating learning, using, and designing graph processing pipelines/models systematically.

stellargraph-mvisani

StellarGraph - Machine Learning on Graphs

euler-gl

A distributed graph deep learning framework.

euler2-gl

A distributed graph deep learning framework.