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Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and
  Superior Method

Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method

24 October 2022
Yihong Huang
Liping Wang
Fan Zhang
Xuemin Lin
ArXivPDFHTML

Papers citing "Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method"

10 / 10 papers shown
Title
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection
Yunhui Liu
Jiashun Cheng
Jia Li
Fugee Tsung
Hongzhi Yin
Tieke He
26
0
0
19 Apr 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning
Hang Ni
Jindong Han
Nengjun Zhu
Hao Liu
57
0
0
15 Mar 2025
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
53
2
0
03 Jun 2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs
Tim Postuvan
Claas Grohnfeldt
Michele Russo
Giulio Lovisotto
16
2
0
28 May 2024
SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection
SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection
Xiangyu Dong
Xing Zhang
Yanni Sun
Lei Chen
Mingxuan Yuan
Sibo Wang
18
1
0
27 May 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
30
8
0
11 Mar 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and
  Evaluation
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation
Neng Kai Nigel Neo
Yeon-Chang Lee
Yiqiao Jin
Sang-Wook Kim
Srijan Kumar
36
4
0
25 Feb 2024
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Qingming Huang
13
20
0
22 Dec 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
11
12
0
26 Aug 2023
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced
  Unsupervised Approach
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
Xing Ai
Jialong Zhou
Yulin Zhu
Gaolei Li
Tomasz P. Michalak
Xi Luo
Kai Zhou
28
0
0
02 Aug 2023
1