Raising the Bar in Graph-level Anomaly Detection

27 May 2022

Papers citing "Raising the Bar in Graph-level Anomaly Detection"

38 / 38 papers shown

Title
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning Hang Ni Jindong Han Nengjun Zhu Hao Liu 57 0 0 15 Mar 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 52 2 0 08 Jan 2025
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 26 0 0 10 Nov 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy Sunwoo Kim Soo Yong Lee Fanchen Bu Shinhwan Kang Kyungho Kim Jaemin Yoo Kijung Shin 22 1 0 27 Oct 2024
Graph Pre-Training Models Are Strong Anomaly Detectors Jiashun Cheng Zinan Zheng Yang Liu Jianheng Tang H. Wang Yu Rong Jia Li Fugee Tsung 29 1 0 24 Oct 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 27 5 0 16 Sep 2024
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs Xiaohua Lu Leshanshui Yang 40 0 0 12 Aug 2024
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection Chunjing Xiao Shikang Pang Wenxin Tai Yanlong Huang Goce Trajcevski Fan Zhou 36 2 0 18 Jul 2024
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning Zitong Wang Xuexiong Luo Enfeng Song Qiuqing Bai Fu Lin 26 0 0 13 Jul 2024
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection Yali Fu Jindong Li Jiahong Liu Qianli Xing Qi Wang Irwin King 32 1 0 02 Jul 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 32 8 0 21 Jun 2024
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection Fan Xu Nan Wang Hao Wu Xuezhi Wen Dalin Zhang Siyang Lu Binyong Li Wei Gong Hai Wan Xibin Zhao 34 0 0 02 Jun 2024
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior Lorenzo Perini Maja R. Rudolph Sabrina Schmedding Chen Qiu 42 1 0 22 May 2024
GNN-based Anomaly Detection for Encoded Network Traffic Anasuya Chattopadhyay Daniel Reti Hans D. Schotten 11 0 0 22 May 2024
Anomaly Detection in Graph Structured Data: A Survey Prabin B. Lamichhane William Eberle 28 3 0 10 May 2024
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models Xu Shen Yili Wang Kaixiong Zhou Shirui Pan Xin Wang 27 6 0 24 Apr 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 34 36 0 07 Mar 2024
FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework Jinyu Cai Yunhe Zhang Zhoumin Lu Wenzhong Guo See-kiong Ng FedML 29 2 0 20 Feb 2024
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems Siyuan Chen Xin Du Jiahai Wang 35 0 0 18 Jan 2024
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach Konstantinos Sotiropoulos Lingxiao Zhao Pierre Jinghong Liang L. Akoglu 16 4 0 13 Nov 2023
Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu Kaize Ding Qinghua Lu Fuyi Li Leo Yu Zhang Shirui Pan 24 47 0 25 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 27 4 0 16 Oct 2023
Self-Discriminative Modeling for Anomalous Graph Detection Jinyu Cai Yunhe Zhang Jicong Fan 24 5 0 10 Oct 2023
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection Xiangyu Dong Xingyi Zhang Sibo Wang GNN 11 13 0 04 Oct 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 11 12 0 26 Aug 2023
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach Xing Ai Jialong Zhou Yulin Zhu Gaolei Li Tomasz P. Michalak Xi Luo Kai Zhou 28 1 0 02 Aug 2023
Multi-representations Space Separation based Graph-level Anomaly-aware Detection Fu Lin Haonan Gong Mingkang Li Zitong Wang Yue Zhang Xuexiong Luo 20 1 0 22 Jul 2023
Graph-level Anomaly Detection via Hierarchical Memory Networks Chaoxi Niu Guansong Pang Ling-Hao Chen 13 14 0 03 Jul 2023
Graph Neural Networks based Log Anomaly Detection and Explanation Zhong Li Jiayang Shi M. Leeuwen 30 1 0 02 Jul 2023
Zero-Shot Anomaly Detection via Batch Normalization Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 17 0 0 15 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 10 13 0 15 Feb 2023
Deep Orthogonal Hypersphere Compression for Anomaly Detection Yunhe Zhang Yan Sun Jinyu Cai Jicong Fan 25 10 0 13 Feb 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio' GNN AI4CE 30 10 0 14 Jan 2023
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach Shujie Yang Binchi Zhang Shangbin Feng Zhaoxuan Tan Qinghua Zheng Jun Zhou Minnan Luo 18 5 0 17 Aug 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 21 86 0 21 Jun 2022
Latent Outlier Exposure for Anomaly Detection with Contaminated Data Chen Qiu Aodong Li Marius Kloft Maja R. Rudolph Stephan Mandt 16 55 0 16 Feb 2022
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 135 103 0 14 Jul 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018