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"

8 / 8 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 100 3 0 09 Oct 2024
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks Jiaqiang Zhang Senzhang Wang Songcan Chen 51 49 0 10 May 2022
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection Yu Zheng Ming Jin Yixin Liu Lianhua Chi K. Phan Yi-Ping Phoebe Chen 84 128 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 106 302 0 27 Feb 2021
A Survey on Contrastive Self-supervised Learning Ashish Jaiswal Ashwin Ramesh Babu Mohammad Zaki Zadeh Debapriya Banerjee F. Makedon SSL 120 1,389 0 31 Oct 2020
Contrastive Clustering Yunfan Li Peng Hu Zitao Liu Dezhong Peng Qiufeng Wang Xi Peng 60 625 0 21 Sep 2020
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 72 1,559 0 01 Nov 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 474 15,218 0 07 Jun 2017