h22hyeon Goto Github PK
Name: Heehyeon Kim
Type: User
Name: Heehyeon Kim
Type: User
Code for "Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction (AAAI 2023)"
Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
[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
A curated list of fraud detection papers using graph information or graph neural networks
Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning
(WWW 2021) Source code of PC-GNN
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
ICML 2022 https://arxiv.org/abs/2205.15508
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.