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

23 May 2025

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

5 / 5 papers shown

Title
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Sihang Li Congcong Wen Hui Lin Xiang Wang 66 2 0 09 Oct 2024
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 72 127 0 23 Aug 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 73 297 0 27 Feb 2021
Contrastive Clustering Yunfan Li Peng Hu Zitao Liu Dezhong Peng Qiufeng Wang Xi Peng 30 616 0 21 Sep 2020
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 29 1,549 0 01 Nov 2018