Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

1 December 2022

Papers citing "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View"

7 / 7 papers shown

Title
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement Wenjing Chang Kay Liu Philip S. Yu Jianjun Yu 51 2 0 03 Jun 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 31 36 0 07 Mar 2024
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 18 3 0 15 Aug 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 19 1 0 11 Apr 2023
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 67 193 0 31 May 2022
Simple Contrastive Graph Clustering Yue Liu Xihong Yang Sihang Zhou Xinwang Liu GNN 36 109 0 11 May 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning Xihong Yang Xiaochang Hu Sihang Zhou Xinwang Liu En Zhu SSL 112 42 0 24 Feb 2022