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awesome-gnn-recommendation

Graph Neural Network

cogsl

Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression

datasets-for-heterogeneous-graph

Datasets-for-Heterogeneous-Graph

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dgl

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

diffpool

dmgi

Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

drne

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

gae-pytorch

Graph Auto-Encoder in PyTorch

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gib

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

grace

PyTorch implementation of "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

graph-structure-estimation-neural-networks

Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsage-simple

Simple reference implementation of GraphSAGE.

heco

The source code of HeCo

heterogeneous-deep-graph-infomax

HDGI code

hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

hgnn

Hyperbolic Graph Neural Networks

inductive-representation-learning-on-temporal-graphs

infograph

Code for ICLR paper "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

liun-online.github.io

lsir

lsir

magnn

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

mine-mutual-information-neural-estimation-

A pytorch implementation of MINE(Mutual Information Neural Estimation)

multi-view-information-bottleneck

Implementation of Multi-View Information Bottleneck

mvgrl

ppnp

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

pygcn

Graph Convolutional Networks in PyTorch