Graph Neural Network Python Packages

egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

molcraft

Graph Neural Networks for Molecular Machine Learning

dive-into-graphs

A library for graph deep learning research

solitairenet

Solitaire deep learning library.

dhl-mm

Sparse Lie algebra engine for G₂, F₄, E₆, E₇, E₈ — 913× compression, lattice gauge theory, equivariant GNN layers. pip install dhl-mm

chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

crslab

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

bigraph

Bipartite-network link prediction in Python

graphids

Graph-based cloud intrusion detection using GCN, Transformer autoencoder, and contrastive learning — Scientific Reports 2025

gigl

TODO

graphsite

Generate graph representations of protein binding sites.