hookk

Graph-Label-invariant-Augmentation

Source Code for "Label-invariant Augmentation for Semi-Supervised Graph Classification"

GraphMixup

Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

ChebNetII

PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"

GraphMAE

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

GraphRec_PyTorch

A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

OpenNE

An Open-Source Package for Network Embedding (NE)

MSKD

The code of paper ”Multi-Scale Distillation from Multiple Graph Neural Networks“.

gnn-comparison

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

haarwvl

Image compression using Haar Wavelets

DropEdge

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

awesome-attention-based-gnns

A collection of resources on attention-based graph neural networks

Graph-based-Knowledge-Distillation

Graph based Knowledge Distillation: A Survey

GraphMAE_PyG

GraphMAE in Torch_Geometric

GraphWaveMachine

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

CLNode

SIGIR21-SURGE

Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".

Graph-Posterior-Network

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

AirGNN

Awesome-RSPapers

Recommender System Papers

mdistiller

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679

GraCapsNet

A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition

HaarPool

PyTorch Codes for Haar Graph Pooling

Distributed-DeepGCNs

Distributed Training for DeepGCNs: https://www.deepgcns.org

awesome-gnn

A list for GNNs and related works.

vegas

Graph-Bert-1

Source code of Graph-Bert

tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org