Concepedia

Graph-based Anomaly Detection

Graph-Based Anomaly Detection is a methodological framework within anomaly detection that identifies anomalous patterns by modeling data entities and their interactions as a graph structure, leveraging topological relationships and propagation dynamics to distinguish normal from abnormal behavior.

484

Publications

28.3K

Citations

1.6K

Authors

534

Institutions

Publications per year

2017–2026

323

Parents

Publications

484

Graph based anomaly detection and description: a survey

Leman Akoglu, Hanghang Tong, Danai Koutra · Data Mining and Knowledge Discovery · 2014 · 1.5K citations

, , +11

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

Ailin Deng, Bryan Hooi · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 1.1K citations · Full text

, , +17

Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT

Zekai Chen, Dingshuo Chen, Xiao Zhang et al. · arXiv (Cornell University) · 2021 · 535 citations · Full text

, , +16

Graph-based anomaly detection

Caleb C. Noble, Diane J. Cook · 2003 · 471 citations

, , +16

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

Yixin Liu, Zhao Li, Shirui Pan et al. · IEEE Transactions on Neural Networks and Learning Systems · 2021 · 448 citations · Full text

, , +16

1–5 of 484

Authors

1.6K

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    20 publications · 1.6K citations

    19

    h-index

  2. LA
    Leman Akoglu

    Carnegie Mellon University, United States

    10 publications · 2K citations

    10

    h-index

  3. WE
    William Eberle

    Tennessee Technological University, United States

    10 publications · 499 citations

    10

    h-index

  4. BH
    Bryan Hooi

    National University of Singapore, Singapore

    9 publications · 1.6K citations

    9

    h-index

  5. LB
    Lawrence B. Holder

    The University of Texas at Arlington, United States

    9 publications · 478 citations

    9

    h-index

1–5 of 1.6K

Institutions

534

  1. Carnegie Mellon University

    Pittsburgh, United States

    24 h-index

    64 publications

    6.2K citations

  2. Chinese Academy of Sciences

    Beijing, China

    12 h-index

    23 publications

    1.5K citations

  3. Beihang University

    Beijing, China

    11 h-index

    27 publications

    1.2K citations

  4. University of Electronic Science and Technology of China

    Chengdu, China

    11 h-index

    27 publications

    951 citations

  5. Tsinghua University

    Beijing, China

    10 h-index

    27 publications

    1.5K citations

  6. Zhejiang University

    Hangzhou, China

    10 h-index

    25 publications

    1.1K citations

  7. Arizona State University

    Tempe, United States

    10 h-index

    17 publications

    1.8K citations

  8. Virginia Tech

    Blacksburg, United States

    9 h-index

    21 publications

    409 citations

1–8 of 534

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 1.1K citations

    15

    h-index

  2. 13

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 12 publications · 588 citations

    12

    h-index

  4. IEEE Access

    12 publications · 477 citations

    11

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 11 publications · 1.6K citations

    10

    h-index

1–5