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Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement

Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement

3 June 2024
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
ArXivPDFHTML

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

3 / 3 papers shown
Title
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at
  Scale
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale
Kay Liu
Jiahao Ding
MohamadAli Torkamani
Philip S. Yu
87
1
0
01 Dec 2024
The Devil is in the Data: Learning Fair Graph Neural Networks via
  Partial Knowledge Distillation
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation
Yuchang Zhu
Jintang Li
Liang Chen
Zibin Zheng
41
9
0
29 Nov 2023
Towards Fair Deep Anomaly Detection
Towards Fair Deep Anomaly Detection
Hongjing Zhang
Ian Davidson
FaML
55
39
0
29 Dec 2020
1