HuidiZHU

HuidiZHU's Stars

• yanue/V2rayU

  V2rayU,基于v2ray核心的mac版客户端,用于科学上网,使用swift编写,支持trojan,vmess,shadowsocks,socks5等服务协议,支持订阅, 支持二维码,剪贴板导入,手动配置,二维码分享等

  18.7k2811.4k2.9k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.2k114491.4k

• benedekrozemberczki/awesome-graph-classification

  A collection of important graph embedding, classification and representation learning papers with implementations.

  Language:Python4.7k21610742

• sjtug/SJTUThesis

  上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template

  Language:TeX3.3k54485790

• graphdeeplearning/benchmarking-gnns

  Repository for benchmarking graph neural networks

  Language:Jupyter Notebook2.5k5868451

• Bjarten/early-stopping-pytorch

  Early stopping for PyTorch

  Language:Jupyter Notebook1.2k914294

• Hyperparticle/one-pixel-attack-keras

  Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

  Language:Jupyter Notebook1.2k2926214

• shenweichen/GraphNeuralNetwork

  Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

  Language:Python782127183

• YimianDai/open-aff

  code and trained models for "Attentional Feature Fusion"

  Language:Python72784295

• NetManAIOps/OmniAnomaly

  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

  Language:Python7211150194

• twjiang/graphSAGE-pytorch

  A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

  Language:Python6191022150

• benedekrozemberczki/datasets

  A repository of pretty cool datasets that I collected for network science and machine learning research.

  605141284

• dragen1860/GCN-PyTorch

  Graph Convolution Network for PyTorch

  Language:Python3877786

• danielzuegner/nettack

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

  Language:Python21871655

• THUDM/grb

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

  Language:Python9181017

• jamesYu365/EGAT

  a pytorch implementation of Exploiting Edge Features in Graph Neural Networks.

  Language:Python395

• NDS-VU/awesome-gnn-privacy

  This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (GNNs).

  20514

• vincentX3/ML_learning

  Fight for future.

  Language:Jupyter Notebook10101

• ICHproject/NetFense

  Implement of NetFense: Adversarial Defenses against Privacy Attacks on Neural Networks for Graph Data

  Language:Python6200

• ZW-ZHANG/EigenGNN

  This is a sample implementation of "Eigen-GNN: a Graph Structure Preserving Plug-in for GNNs, TKDE 2021".

  Language:Python6110