Beast code in Giters

Heehyeon Kim's starred repositories

how_attentive_are_gats

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Language:Python29500

gnn-spectral-expressive-power

Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021

Language:PythonGPL-3.04500

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Language:PythonMIT284800

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Language:PythonApache-2.01326000

Rethinking-Anomaly-Detection

"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022

Language:Python16800

GCN_AnomalyDetection_pytorch

PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)

Language:Python6600

DGFraud-TF2

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Language:PythonApache-2.012400

GCN_AnomalyDetection

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

Language:Python12900

PC-GNN

(WWW 2021) Source code of PC-GNN

Language:Python9500

pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

Language:PythonBSD-2-Clause128200

Graph-Neural-Networks-With-Heterophily

This repository contains the resources on graph neural network (GNN) considering heterophily.

GPL-3.020300

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

136800

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Language:PythonMIT227200

StrGNN

Code for structural temporal graph neural networks for anomaly detection in dynamic graphs

Language:PythonNOASSERTION1900

ANEMONE

[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".

Language:PythonMIT4600

Meta-GDN_AnomalyDetection

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Language:Python5300

Wikidata_relation_extractor

Code to extract KB triples from given contexts using Wikidata API

Language:PythonMIT1100

Expert-laymen style transfer model based on the Style Transformer (Dai. et al., 2019). This code is based on the MSD dataset (Cao et al., 2020), which is a task for style transfer between an expert-level language to a laymen language for the ease of communication.

Language:PythonMIT900

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