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)

deeprobust

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

stellargraph

StellarGraph - Machine Learning on Graphs

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

pacman-charge

Partial Atomic Charges for Porous Materials based on Graph Convolutional Neural Network (PACMAN)

mlconfgen

Spatially-aware molecule generation via Equivariant Diffusion and GCN

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.

greatx

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

grakn-kglib

TypeDB-ML is the Machine Learning integrations library for TypeDB

graphzoo

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

pyg-library

Low-Level Graph Neural Network Operators for PyG

graphwar

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

stellargraph-mvisani

StellarGraph - Machine Learning on Graphs

celllens

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

garnn

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

typedb-ml

TypeDB-ML is the Machine Learning integrations library for TypeDB

euler-gl

A distributed graph deep learning framework.

euler2-gl

A distributed graph deep learning framework.