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

A python module to handle graph protein data

mlconfgen

A tool for spatially-aware molecule design and optimisation 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.

pacman-charge

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

cellsnap

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

graphzoo

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

graphwar

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

grakn-kglib

A Machine Learning Library for the Grakn knowledge graph.

greatx

Arms Race in Adversarial Graph Learning

celllens

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

garnn

TensorFlow implementation of the Graphical Attention Recurrent Neural Net Model

stellargraph-mvisani

StellarGraph - Machine Learning on Graphs

pyg-library

Low-Level Graph Neural Network Operators for PyG

typedb-ml

TypeDB-ML is the Machine Learning integrations library for TypeDB

euler-gl

A toolset for network representation learning.

euler2-gl

A distributed graph deep learning framework.