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HuidiZHU's starred repositories

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

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).

CC0-1.02100

GCN-PyTorch

Graph Convolution Network for PyTorch

Language:Python38500

ML_learning

Fight for future.

Language:Jupyter NotebookNOASSERTION900

SJTUThesis

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

Language:TeXApache-2.0328100

EGAT

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

Language:PythonMIT3800

datasets

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

MIT60300

ml-visuals

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

MIT1297500

grb

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

Language:PythonMIT9100

nettack

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

Language:PythonMIT21600

open-aff

code and trained models for "Attentional Feature Fusion"

Language:Python71000

EigenGNN

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

Language:PythonMIT600

NetFense

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

Language:Python600

early-stopping-pytorch

Early stopping for PyTorch

Language:Jupyter NotebookMIT121600

GraphNeuralNetwork

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

Language:PythonMIT78100

benchmarking-gnns

Repository for benchmarking graph neural networks

Language:Jupyter NotebookMIT247700

graphSAGE-pytorch

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

Language:Python61300

awesome-graph-classification

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

Language:PythonCC0-1.0472100

OmniAnomaly

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

Language:PythonMIT71000

one-pixel-attack-keras

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

Language:Jupyter NotebookMIT121400