Higher-order Structure Based Anomaly Detection on Attributed Networks

Higher-order Structure Based Anomaly Detection on Attributed Networks

7 June 2024

Papers citing "Higher-order Structure Based Anomaly Detection on Attributed Networks"

19 / 19 papers shown

Title
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector Jinghan Li Yuan Gao Jinda Lu Junfeng Fang Congcong Wen Hui Lin Xiang Wang 53 1 0 09 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 35 6 0 16 Sep 2024
Towards a Unified Framework of Clustering-based Anomaly Detection Zeyu Fang Ming Gu Sheng Zhou Jiawei Chen Qiaoyu Tan Haishuai Wang Jiajun Bu 43 0 0 01 Jun 2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs Tim Postuvan Claas Grohnfeldt Michele Russo Giulio Lovisotto 32 2 0 28 May 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 37 3 0 06 Mar 2024
SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks Enbo He Yitong Hao Yue Zhang Guisheng Yin Lina Yao 30 4 0 03 Jan 2024
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps Yifei Yang Peng Wang Xiaofan He Dongmian Zou 14 5 0 10 Nov 2023
Self-supervised Learning for Anomaly Detection in Computational Workflows Hongwei Jin Krishnan Raghavan George Papadimitriou Cong Wang A. Mandal Ewa Deelman Prasanna Balaprakash 22 1 0 02 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 37 10 0 12 Sep 2023
Anomaly Detection in Networks via Score-Based Generative Models Dmitrii Gavrilev Evgeny Burnaev 22 3 0 27 Jun 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection George Papadimitriou Hongwei Jin Cong Wang Rajiv Mayani Krishnan Raghavan A. Mandal Prasanna Balaprakash Ewa Deelman 18 3 0 16 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction Amit Roy Juan Shu Jia Li Carl Yang Olivier Elshocht Jeroen Smeets P. Li 43 40 0 02 Jun 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 30 80 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 22 10 0 28 Nov 2022
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method Yihong Huang Liping Wang Fan Zhang Xuemin Lin 31 19 0 24 Oct 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges Hwan Kim Byung Suk Lee Won-Yong Shin Sungsu Lim GNN 25 66 0 29 Sep 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang Yang Yang Yang Wang Chunping Wang Zhisheng Zhang Jiarong Xu Lei Chen Michalis Vazirgiannis 19 82 0 30 Jun 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu Yingtong Dou Yue Zhao Xueying Ding Xiyang Hu ... Lichao Sun Jundong Li George H. Chen Zhihao Jia Philip S. Yu OOD 23 90 0 21 Jun 2022
PyGOD: A Python Library for Graph Outlier Detection Kay Liu Yingtong Dou Xueying Ding Xiyang Hu Ruitong Zhang Hao Peng Kai Shu Philip S. Yu AI4TS 24 50 0 26 Apr 2022