A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

14 June 2021

Jian Yang

Papers citing "A Comprehensive Survey on Graph Anomaly Detection with Deep Learning"

50 / 173 papers shown

Title
Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao Qingsong Wen Xiaoli Li Ee-Peng Lim Guansong Pang 42 7 0 19 Feb 2024
Continual Learning on Graphs: Challenges, Solutions, and Opportunities Xikun Zhang Dongjin Song Dacheng Tao CLL 26 7 0 18 Feb 2024
Alleviating Structural Distribution Shift in Graph Anomaly Detection Yuan Gao Xiang Wang Xiangnan He Zhenguang Liu Huamin Feng Yongdong Zhang 18 62 0 25 Jan 2024
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems Siyuan Chen Xin Du Jiahai Wang 49 0 0 18 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 Jan 2024
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Qingming Huang 18 21 0 22 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 49 2 0 19 Dec 2023
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Qiaoyu Tan Hao Xu Hao Chen Zhao Li Jiajun Bu 29 15 0 09 Dec 2023
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y. Lai Yulin Zhu Bailin Pan Kai Zhou AAML 36 6 0 07 Dec 2023
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection Ijazul Haq Byung Suk Lee Donna M. Rizzo AI4TS 18 5 0 29 Nov 2023
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection Fan Xu Nan Wang Xuezhi Wen Meiqi Gao Chaoqun Guo Xibin Zhao 30 6 0 17 Nov 2023
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach Konstantinos Sotiropoulos Lingxiao Zhao Pierre Jinghong Liang L. Akoglu 26 4 0 13 Nov 2023
Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang Guansong Pang Mahsa Salehi Wray L. Buntine Christopher Leckie 36 3 0 12 Nov 2023
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
Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu Kaize Ding Qinghua Lu Fuyi Li Leo Yu Zhang Shirui Pan 29 49 0 25 Oct 2023
Self-Discriminative Modeling for Anomalous Graph Detection Jinyu Cai Yunhe Zhang Jicong Fan 32 6 0 10 Oct 2023
PatchProto Networks for Few-shot Visual Anomaly Classification Jian Wang Yue Zhuo 32 0 0 07 Oct 2023
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection Heehyeon Kim Jinhyeok Choi Joyce Jiyoung Whang GNN 13 6 0 06 Oct 2023
Topology-Agnostic Detection of Temporal Money Laundering Flows in Billion-Scale Transactions Haseeb Tariq Marwan Hassani 6 3 0 24 Sep 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 32 10 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 14 13 0 26 Aug 2023
Label-based Graph Augmentation with Metapath for Graph Anomaly Detection Hwan Kim Junghoon Kim Byung Suk Lee Sungsu Lim 26 0 0 21 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 31 3 0 15 Aug 2023
Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models Nouhaila Innan Muhammad Al-Zafar Khan Mohamed Bennai 14 18 0 09 Aug 2023
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph Zequan Xu Qihang Sun Shaofeng Hu Jieming Shi Hui Li 21 1 0 05 Aug 2023
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model Fu Lin Xuexiong Luo Jia Wu Jian Yang Shan Xue Zitong Wang Haonan Gong 21 6 0 03 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 41 1 0 02 Aug 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection Jie Liu Mengting He Xuequn Shang Jieming Shi Bin Cui Hongzhi Yin 21 9 0 28 Jul 2023
General-Purpose Multi-Modal OOD Detection Framework Viet Duong Qiong Wu Zhengyi Zhou Eric Zavesky Jiahe Chen Xiangzhou Liu Wen-Ling Hsu Huajie Shao OODD 46 2 0 24 Jul 2023
Multi-representations Space Separation based Graph-level Anomaly-aware Detection Fu Lin Haonan Gong Mingkang Li Zitong Wang Yue Zhang Xuexiong Luo 38 1 0 22 Jul 2023
Fast Unsupervised Deep Outlier Model Selection with Hypernetworks Xueying Ding Yue Zhao L. Akoglu OODD 22 4 0 20 Jul 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 33 9 0 10 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 29 0 0 02 Jul 2023
Anomaly Detection in Networks via Score-Based Generative Models Dmitrii Gavrilev Evgeny Burnaev 22 3 0 27 Jun 2023
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support Jie Wang Zheng Yan Jiahe Lan Elisa Bertino Witold Pedrycz 20 11 0 23 Jun 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection Jianheng Tang Fengrui Hua Zi-Chao Gao P. Zhao Jia Li 25 55 0 21 Jun 2023
Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement Lucas Potin R. Figueiredo Vincent Labatut C. Largeron 21 2 0 19 Jun 2023
Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation Shuang Zhou Xiao Shi Huang Ninghao Liu Huachi Zhou F. Chung Longhai Huang 36 23 0 18 Jun 2023
Clarify Confused Nodes via Separated Learning Jiajun Zhou Sheng Gong Chenxuan Xie Shanqing Yu Qi Xuan Xiaoniu Yang Xiaoniu Yang 81 3 0 04 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction Amit Roy Juan Shu Jia Li Carl Yang Olivier Elshocht Jeroen Smeets P. Li 33 40 0 02 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 30 30 0 31 May 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 19 24 0 29 May 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian Jihai Dong Jintang Li Wenlong Zhao Xiaolong Xu Baokun Wang Bowen Song Changhua Meng Tianyi Zhang Liang Chen 41 30 0 23 May 2023
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks Yue Hu Yuhang Zhang Yanbing Wang D. Work GNN 24 7 0 23 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 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 27 1 0 11 Apr 2023
Counterfactual Learning on Graphs: A Survey Zhimeng Guo Teng Xiao Zongyu Wu Charu C. Aggarwal Hui Liu Suhang Wang CML AI4CE 40 19 0 03 Apr 2023
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection Xinxin Hu Haotian Chen Junjie Zhang Hongchang Chen Shuxin Liu Xing Li Yahui Wang Xiangyang Xue 15 12 0 29 Mar 2023
Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection Yunkang Cao Xiaohao Xu Nong Sang 3DPC 26 41 0 23 Mar 2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs Yuchen Wang Jinghui Zhang Zhengjie Huang Weibin Li Shi Feng ... Dianhai Yu Fang Dong Jiahui Jin Beilun Wang Junzhou Luo 22 38 0 21 Feb 2023