Graph-Based Anomaly Detection

Latest papers

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44 papers6 papers in the last four weeks, up 20% on the four weeks before. 0.0% of all new papers.

  1. Towards Generalist Graph-Level Anomaly Detection

    Nov 5, 2026Junjun Pan, Yixin Liu, Yu Zheng +3Graph-Based Anomaly DetectionGraph Domain Adaptation

  2. Graph Foundation Models Can Become Effective Multivariate Time Series Anomaly Detectors

    Nov 4, 2026Zhuangyan Hu, Zhuoxuan Liang, Wei Li +3Time-Series Anomaly DetectionGraph-Based Anomaly Detection

  3. Leakage-free evaluation of residual graph convolutional networks for network intrusion detection

    Nov 3, 2026Zahid IqbalNetwork Intrusion DetectionGraph Neural Networks

  4. Sequential auditing of connected forecast errors under partial observations

    Nov 2, 2026Yuanbo Zhou, Junjie XiongAlgorithmic AuditingGraph-Based Anomaly Detection

  5. Payroll Fraud Detection in Synthetic HR/ERP Graphs: An Inductive Comparison of Rules, Path Features, and Graph Neural Networks

    Oct 29, 2026Xiaobo Chen, Genliang Zhu, Ziyuan Wang +1Financial Fraud DetectionGraph-Based Anomaly Detection

  6. One Pretrained Decision Model Is Enough for Training-Free Generalist Graph Anomaly Detection

    Oct 22, 2026Xinyu Zhao, Qingyun Sun, Ziwei Zhang +3Graph-Based Anomaly Detection

  7. What Remains Without Leaking Test Labels? Exposing Evaluation Flaws in Graph-Level Anomaly Detection

    Oct 16, 2026Yujie Lu, Da YanGraph-Based Anomaly DetectionAnomaly Detection

  8. Graph Anomaly Detection as Finite-Horizon Control: Training-Free Scoring via Empirical Bayes

    Sep 29, 2026Fred Xu, Thomas Markovich, Florence Regol +1Anomaly DetectionGraph-Based Anomaly Detection

  9. The Selection Rule Decides the Winner: A Pre-Registered Audit of Open-Set Graph Anomaly Detection

    Sep 27, 2026Farhan Shahriyar Hossain, Taufikur Rahman Fuad, Md Abrar Jahin +1Few-Shot Anomaly DetectionBenchmark Auditing

  10. FoundAna: A GNN-assisted Foundation Model for Graph Anomaly Detection

    Sep 16, 2026Suprim Nakarmi, Chahana Dahal, Yue Zhao +2Graph Neural NetworksReconstruction-Based Anomaly Detection

  11. GSLAD: Prototype-Regularized Graph Structure Learning for Multivariate Time Series Anomaly Detection

    Sep 14, 2026Zepeng Zhang, Fuad Khuri, Keivan Faghih Niresi +1Graph Structure LearningIndustrial Anomaly Detection

  12. GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection

    Sep 4, 2026Xudong Wang, Chris Ding, Tongxin Li +1Few-Shot Anomaly DetectionGraph-Based Anomaly Detection

  13. RAD: Rule-Augmented Relational Anomaly Detection

    Aug 24, 2026Noah Dahle, Anne Tumlin, Ngoc Tran +2Anomaly DetectionGraph-Based Anomaly Detection

  14. RagGAD: Rationale-Aware Conditional Gaussian Mixture Normalizing Flow for Unsupervised Graph Anomaly Detection

    Aug 17, 2026Junxin Lu, Jing Zhao, Shiliang SunGraph-Based Anomaly DetectionUnsupervised Anomaly Detection

  15. Beat the Counter First: A Baseline for Temporal-Graph Anomaly Detectors

    Aug 16, 2026Omair Shafi Ahmed, Zohair ShafiGraph-Based Anomaly DetectionAnomaly Detection

  16. Amortised Post-Hoc Explanation with Exact Preservation for Dynamic Graph Anomaly Detectors

    Aug 16, 2026Iyad Assaad Nekka, Hamida Seba, Walid Khaled Hidouci +1GNN ExplainabilityInterpretable Anomaly Detection

  17. Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection

    Aug 12, 2026Iyad Assaad Nekka, Hamida Seba, Khaled Walid Hidouci +1Gradient-Based AttributionInterpretable Anomaly Detection

  18. Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection

    May 29, 2026Yilin Liu, Hongchao Zhang, Taylor T. Johnson +2Spectral MethodsSpatiotemporal GNNs

  19. Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization

    May 27, 2026Jungwook Seo, Minjeong Kim, Younkwan Lee +2Graph-Based Anomaly DetectionAnomaly Localization

  20. Benchmarking Inductive Biases for Multivariate Time-Series Anomaly Detection with a Robust Multi-View Channel-Graph Detector

    May 27, 2026Junhao Wei, Yanxiao Li, Bidong Chen +9Graph-Based Anomaly DetectionMulti-View Learning

  21. Generalist Graph Anomaly Detection via Prototype-Based Distillation

    May 26, 2026Yiming Xu, Zihan Chen, Zhen Peng +4Unsupervised Anomaly DetectionZero-Shot Anomaly Detection

  22. DDGAD: Disagreement-Driven Graph Anomaly Detection via Adapt-Then-Combine

    May 26, 2026Yuxin Yang, Limei Hu, Feng ChenGraph Signal ProcessingUnsupervised Anomaly Detection

  23. Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach

    May 25, 2026Yujing Liu, Yixin Liu, Yu Zheng +3Domain GeneralizationAnomaly Detection

  24. NeighborDiv: Training-free Zero-shot Generalist Graph Anomaly Detection via Neighbor Diversity

    May 20, 2026Kaifeng Wei, Teng Liu, Liang Dong +2Zero-Shot Anomaly DetectionCross-Dataset Generalization