GraphGym

pytorch_geometric_signed_directed

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for...

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

dfgo

Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021

stellargraph

StellarGraph - Machine Learning on Graphs

BSMS-GNN

PyNeuraLogic

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

jraph

A Graph Neural Network Library in Jax

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

NATS-Bench

TPAMI 2021: NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the p...

eg3d