Graph-based Relationship Analysis

Graph-Based Relationship Analysis is a computational framework that models entities and their interactions as nodes and edges in a graph structure to systematically identify anomalous or suspicious behaviors by analyzing relational patterns and structural dependencies within the network.

89

Publications

5.5K

Citations

303

Authors

136

Institutions

Publications per year

2017–2026

34

Authors

303

  1. JT
    Jie Tang

    Tsinghua University, China

    3 publications · 352 citations

    3

    h-index

  2. BH
    Bradley Huffaker

    University of California San Diego, United States

    3 publications · 774 citations

    3

    h-index

  3. KC
    kc claffy

    University of California San Diego, United States

    3 publications · 774 citations

    3

    h-index

  4. AS
    Amit Sheth

    Wright State University, United States

    3 publications · 389 citations

    3

    h-index

  5. JL
    Juan Liu

    Chinese Academy of Sciences, China

    2 publications · 78 citations

    2

    h-index

1–5 of 303

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 136 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 64 citations

    3

    h-index

  3. Decision Support Systems

    2 publications · 27 citations

    2

    h-index

  4. 1

    h-index

  5. Arabian Journal for Science and Engineering

    1 publications · 38 citations

    1

    h-index

1–5