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2020codecraft

2020华为软挑初赛粤港澳赛区第一，复赛粤港澳赛区A榜第一解决方案

argnp

Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)

awesome-auto-graph-learning

A paper collection about automated graph learning

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

benchmarking-gnns

Repository for benchmarking graph neural networks

bgrl

PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)

certifygnn

Source code of "Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation""

dgl

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

gcn

Implementation of Graph Convolutional Networks in TensorFlow

git_practice

gnn_attack

graph-adversarial-learning

A curated collection of adversarial attack and defense on graph data.

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

graph-neural-networks-with-heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

graphmae

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

graphmae2

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

graphsaint

The dgl implementation of GraphSaint

grb

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

maskgae

mediangcn

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

rohe

s2gae

single-path-one-shot-nas

SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.

songshuhan.github.io

strg

The codes of the paper---Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective