Shuhannnnn's repositories
grb
Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.
awesome-auto-graph-learning
A paper collection about automated graph learning
Graph-Neural-Networks-With-Heterophily
This repository contains the resources on graph neural network (GNN) considering heterophily.
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
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.
STRG
The codes of the paper---Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
GraphMAE2
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
GraphMAE
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
ARGNP
Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)
Shift-Robust-GNNs
"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
benchmarking-gnns
Repository for benchmarking graph neural networks
CertifyGNN
Source code of "Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation""
Single-Path-One-Shot-NAS
SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.
nettack
Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
bgrl
PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
gcn
Implementation of Graph Convolutional Networks in TensorFlow
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
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
GraphSaint
The dgl implementation of GraphSaint