Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks

10 May 2022

Papers citing "Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks"

19 / 19 papers shown

Title
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective Di Jin Jingyi Cao Xiaobao Wang Bingdao Feng Dongxiao He Longbiao Wang Jianwu Dang 87 0 0 23 May 2025
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer Chang Zong Yueting Zhuang Jian Shao Weiming Lu 87 0 0 13 May 2025
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs Jiazhen Chen Sichao Fu Zheng Ma M. Feng T. Wirjanto Qinmu Peng 76 0 0 25 Jan 2025
Towards Cross-domain Few-shot Graph Anomaly Detection Jiazhen Chen Sichao Fu Zhibin Zhang Zheng Ma M. Feng T. Wirjanto Qinmu Peng 103 2 0 11 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 85 8 0 16 Sep 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection Chunjing Xiao Shikang Pang Xovee Xu Xuan Li Goce Trajcevski Fan Zhou DiffM 68 8 0 02 Jul 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh Chawla Wenlin Yao 100 8 0 17 May 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Yuanchen Bei Sheng Zhou Jinke Shi Yao Ma Haishuai Wang Jiajun Bu 93 1 0 25 Apr 2024
SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks Enbo He Yitong Hao Yue Zhang Guisheng Yin Lina Yao 53 4 0 03 Jan 2024
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection Yuanchen Bei Sheng Zhou Qiaoyu Tan Hao Xu Hao Chen Zhao Li Jiajun Bu 81 15 0 09 Dec 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 98 20 0 18 Oct 2023
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning Jingcan Duan Pei Zhang Siwei Wang Jingtao Hu Hu Jin Jiaxin Zhang Haifang Zhou Xinwang Liu 101 15 0 12 Sep 2023
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 79 15 0 26 Aug 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 124 29 0 29 May 2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph Yanming Hu Chuan Chen Bowen Deng Yujing Lai Hao Lin Zibin Zheng Jing Bian 85 3 0 11 Apr 2023
Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View Jingcan Duan Siwei Wang Pei Zhang En Zhu Jingtao Hu Huan Jin Yue Liu Zhibin Dong 72 89 0 01 Dec 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness Jingcan Duan Bin Xiao Siwei Wang Haifang Zhou Xinwang Liu AI4TS 48 13 0 28 Nov 2022
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach Shujie Yang Binchi Zhang Shangbin Feng Zhaoxuan Tan Qinghua Zheng Jun Zhou Minnan Luo 47 5 0 17 Aug 2022
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 245 1,308 0 10 Jun 2020