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
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection Jing Ren Mingliang Hou Zhixuan Liu Xiaomei Bai 39 1 0 12 May 2025
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection Songran Bai Xiaolong Zheng D. Zeng 42 1 0 03 Apr 2025
GLADMamba: Unsupervised Graph-Level Anomaly Detection Powered by Selective State Space Model Yali Fu Jindong Li Qi Wang Qianli Xing Mamba 57 0 0 23 Mar 2025
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey Haoqi Huang Ping Wang Jianhua Pei Jiacheng Wang Shahen Alexanian Dusit Niyato AAML 74 0 0 17 Mar 2025
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning Hang Ni Jindong Han Nengjun Zhu Hao Liu 57 0 0 15 Mar 2025
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection Md Abrar Jahin S. M. Mridha Raihan Kabir Md. Rashedul Islam Yutaka Watanobe Hezerul Abdul Karim 41 0 0 02 Mar 2025
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition Yicong Dong Rundong He Guangyao Chen Wentao Zhang Zhongyi Han Jieming Shi Yilong Yin 43 0 0 01 Mar 2025
Training Robust Graph Neural Networks by Modeling Noise Dependencies Yeonjun In Kanghoon Yoon Sukwon Yun Kibum Kim Sungchul Kim Chanyoung Park OOD NoLa 78 0 0 27 Feb 2025
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities Shih-Hsuan Chiu Ya-Wen Teng De-Nian Yang Ming-Syan Chen 35 0 0 15 Feb 2025
Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning Lili Zhang Quanyan Zhu Herman Ray Ying Xie 29 0 0 26 Jan 2025
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls C. Gao Xiaofeng Tan Jie Zhou Weiping Ding Witold Pedrycz 28 2 0 06 Jan 2025
A Generalizable Anomaly Detection Method in Dynamic Graphs Xiao Yang Xuejiao Zhao Zhiqi Shen 73 1 0 21 Dec 2024
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data Jiin Im Yongho Son Je Hyeong Hong AAML 73 1 0 25 Nov 2024
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes Mihir Agarwal Progyan Das Udit Bhatia 34 1 0 12 Nov 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 36 1 0 10 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 38 1 0 06 Nov 2024
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach Shelei Li Yong Chai Tan Tai Vincent 37 0 0 04 Nov 2024
Graph Neural Networks for Financial Fraud Detection: A Review Dawei Cheng Yao Zou Sheng Xiang Changjun Jiang AI4TS 38 10 0 01 Nov 2024
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts Chaoxi Niu Hezhe Qiao Changlu Chen Ling-Hao Chen Guansong Pang 46 0 0 18 Oct 2024
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data Andy Zhou Xiaojun Xu Ramesh Raghunathan Alok Lal Xinze Guan Bin Yu Bo Li 30 1 0 10 Oct 2024
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies Revital Marbel Yanir Cohen Ran Dubin Amit Dvir Chen Hajaj 21 0 0 19 Sep 2024
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities Daniel Zilberg Ron Levie 36 0 0 18 Sep 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
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs Xiaohua Lu Leshanshui Yang 48 0 0 12 Aug 2024
Talking Wikidata: Communication patterns and their impact on community engagement in collaborative knowledge graphs Elisavet Koutsiana Ioannis Reklos K. Alghamdi Nitisha Jain Albert Meroño-Peñuela Elena Simperl 23 0 0 24 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Feng Xia Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 34 9 0 13 Jul 2024
Graph Anomaly Detection with Noisy Labels by Reinforcement Learning Zhu Wang Shuang Zhou Junnan Dong Chang Yang Xiao Huang Shengjie Zhao 37 1 0 08 Jul 2024
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection Chunjing Xiao Shikang Pang Xovee Xu Xuan Li Goce Trajcevski Fan Zhou DiffM 34 7 0 02 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 45 2 0 02 Jul 2024
FANFOLD: Graph Normalizing Flows-driven Asymmetric Network for Unsupervised Graph-Level Anomaly Detection Rui Cao Shijie Xue Jindong Li Qi Wang Yi Chang 27 1 0 29 Jun 2024
SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning Kaidi Li Tianmeng Yang Min Zhou Jiahao Meng Shendi Wang ... Hu Song Lujia Pan Fan Yu Zhenli Sheng Yunhai Tong AAML 50 5 0 17 Jun 2024
Political Leaning Inference through Plurinational Scenarios Joseba Fernandez de Landa Rodrigo Agerri 28 0 0 12 Jun 2024
Large Generative Graph Models Yu Wang Ryan A. Rossi Namyong Park Huiyuan Chen Nesreen K. Ahmed Puja Trivedi Franck Dernoncourt Danai Koutra Tyler Derr AI4CE 33 3 0 07 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 32 10 0 31 May 2024
Heterophilous Distribution Propagation for Graph Neural Networks Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu 53 0 0 31 May 2024
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic Graphs Tim Postuvan Claas Grohnfeldt Michele Russo Giulio Lovisotto 26 2 0 28 May 2024
SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection Xiangyu Dong Xing Zhang Yanni Sun Lei Chen Mingxuan Yuan Sibo Wang 26 1 0 27 May 2024
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu Shiyuan Li Yu Zheng Qingfeng Chen Chengqi Zhang Shirui Pan 40 10 0 27 May 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 V. Chawla Jundong Li 45 7 0 17 May 2024
Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs Elika Bozorgi Saber Soleymani S. Alqaaidi H. Arabnia Krzysztof J. Kochut 23 4 0 03 May 2024
CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-level Anomaly Detection Jindong Li Qianli Xing Qi Wang Yi Chang ViT 34 6 0 03 May 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Yassine Abbahaddou Sofiane Ennadir J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML OOD 29 6 0 27 Apr 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Jinke Shi Yao Ma Haishuai Wang Jiajun Bu 29 1 0 25 Apr 2024
Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung Shravan Chaudhari Yoav Wald Xing Han Joydeep Ghosh 34 1 0 01 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 36 19 0 30 Mar 2024
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs Jie Liu Xuequn Shang Xiaolin Han Kai Zheng Hongzhi Yin 47 1 0 14 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 32 3 0 06 Mar 2024
Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection P. B. Githinji Xi Yuan Zhenglin Chen I. Gul Dingqi Shang ... Jianming Deng Dan Zeng Dongmei Yu Chenggang Yan Peiwu Qin 41 0 0 04 Mar 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation Neng Kai Nigel Neo Yeon-Chang Lee Yiqiao Jin Sang-Wook Kim Srijan Kumar 41 2 0 25 Feb 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks Sofiane Ennadir Yassine Abbahaddou J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML 33 12 0 21 Feb 2024