cychen610

cychen610's Stars

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java97.6k53822112.4k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.2k2523.5k3.6k

• datawhalechina/leedl-tutorial

  《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

  Language:Jupyter Notebook13.6k2801012.9k

• antvis/G6

  ♾ A Graph Visualization Framework in JavaScript.

  Language:TypeScript11.1k2164.3k1.3k

• wandb/wandb

  The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

  Language:Python9.1k603.4k670

• Sakura-gh/ML-notes

  notes about machine learning

  Language:HTML3.3k798919

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k31209283

• mrpandey/d3graphTheory

  :boom: Interactive and colorful :art: graph theory tutorials made using d3.js :zap:

  Language:JavaScript1.8k5013165

• TheisTrue/MLofAndrew-Ng

  吴恩达机器学习课程的讲义，欢迎大家一起学习

  1.4k202552

• THUYimingLi/backdoor-learning-resources

  A list of backdoor learning resources

  1k396167

• DSE-MSU/DeepRobust

  A pytorch adversarial library for attack and defense methods on images and graphs

  Language:Python98116107190

• safe-graph/graph-adversarial-learning-literature

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

  8273711129

• flyingdoog/awesome-graph-explainability-papers

  Papers about explainability of GNNs

  64928666

• sangyx/gtrick

  Bag of Tricks for Graph Neural Networks.

  Language:Jupyter Notebook2785819

• mims-harvard/GraphXAI

  GraphXAI: Resource to support the development and evaluation of GNN explainers

  Language:Python16662329

• EdisonLeeeee/GreatX

  A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

  Language:Python829611

• mdeff/pygsp_tutorial_graphsip

  Graph signal processing tutorial, presented at the GraphSiP summer school.

  Language:Jupyter Notebook715127

• ventr1c/UGBA

  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)

  Language:Python52354

• blacksingular/GHRN

  [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

  Language:Python34234

• GraphFramEx/graphframex

  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs

  Language:Python34045

• zaixizhang/graphbackdoor

  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)

  Language:Python32224

• xujing1994/bkd_fedgnn

  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"

  Language:Python18305

• GuanZihan/GNN_backdoor_detection

  Implementation of XGBD: Explanation-Guided Backdoor Detection on Graphs

  Language:Python11110

• xujing1994/Explanability_bkd_gnn

  Implementation of paper "Explanability-based backdoor attacks against graph neural networks"

  Language:Python11111

• Louise-LuLin/GCN_Spectral_Attack

  Language:Python6312