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addes

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-turstworthy-graph-neural-networks

dental

A CV project in KU Leuven. Implement activate shape model

dig

A library for graph deep learning research

enyandai.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

fairgnn

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

fakehealth

This repository (FakeHealth) is collected to address challenges in Fake Health News detection

ganf

Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)

health-fake-news

locality-sensitive-hashing

Applying LSH to twitter data

lwgcn

An official PyTorch implementation of "Label-Wise Graph Convolutional Network for Heterophilic Graphs" (LOG 2022)

master-thesis

code for my master thesis of clinical information extraction

movierecommendation

A basic correlation filtering implement on movieLens

nrgnn

Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs" (KDD 2021).

rsgnn

An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))

segnn

A PyTorch implementation of "Towards Self-Explainable Graph Neural Network" (CIKM 2021).

spamfiler

ugba

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