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Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
v1v2 (latest)

Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement

3 June 2024
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
ArXiv (abs)PDFHTML

Papers citing "Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement"

3 / 3 papers shown
Title
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Enhancing Fairness in Autoencoders for Node-Level Graph Anomaly Detection
Shouju Wang
Yuchen Song
Shengén Li
Dongmian Zou
84
0
0
14 Aug 2025
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at
  Scale
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at ScalePacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024
Kay Liu
Jiahao Ding
MohamadAli Torkamani
Philip S. Yu
249
4
0
01 Dec 2024
LEGO-Learn: Label-Efficient Graph Open-Set Learning
LEGO-Learn: Label-Efficient Graph Open-Set Learning
Haoyan Xu
Kay Liu
Zhengtao Yao
Philip S. Yu
Mengyuan Li
Yue Zhao
Yue Zhao
OODD
308
10
0
21 Oct 2024
1