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Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective

23 May 2025
Di Jin
Jingyi Cao
Xiaobao Wang
Bingdao Feng
Dongxiao He
Longbiao Wang
Jianwu Dang
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Papers citing "Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective"

4 / 4 papers shown
Title
Generative and Contrastive Self-Supervised Learning for Graph Anomaly
  Detection
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection
Yu Zheng
Ming Jin
Yixin Liu
Lianhua Chi
K. Phan
Yi-Ping Phoebe Chen
68
127
0
23 Aug 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised
  Learning
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Yixin Liu
Zhao Li
Shirui Pan
Chen Gong
Chuan Zhou
George Karypis
58
297
0
27 Feb 2021
Contrastive Clustering
Contrastive Clustering
Yunfan Li
Peng Hu
Zitao Liu
Dezhong Peng
Qiufeng Wang
Xi Peng
28
616
0
21 Sep 2020
Session-based Recommendation with Graph Neural Networks
Session-based Recommendation with Graph Neural Networks
Shu Wu
Yuyuan Tang
Yanqiao Zhu
Liang Wang
Xing Xie
Tieniu Tan
GNN
25
1,549
0
01 Nov 2018
1