ogb

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

dgl

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

graph-barlow-twins

The official implementation of the Graph Barlow Twins method with the experimental pipeline

NodePiece

Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)

GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

graph-nn

Minimal and easy-to-understand PyTorch implementations of popular Graph Neural Networks

gnn-benchmark

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

PGL

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

BSMS-GNN

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embe...

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementati...

GDL

Code for Online Graph Dictionary Learning

pytorch-GAT

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

RWL

Weisfeiler and Leman Go Relational (LOG 2022)