Automatic Graph Labeling

Automatic Graph Labeling is a computational method that systematically assigns semantic labels to nodes or edges in a graph structure through algorithmic inference without human intervention, distinguishing it from manual or semi-supervised labeling approaches.

12

Publications

732

Citations

40

Authors

22

Institutions

Publications per year

2017–2026

3

Variants

Automated Graph Labeling

Authors

40

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    1 publications · 88 citations

    1

    h-index

  2. JG
    Jarosław Grytczuk

    University of Zielona Góra, Poland

    1 publications · 52 citations

    1

    h-index

  3. BN
    Benjamin Niedermann

    University of Bonn, Germany

    1 publications · 10 citations

    1

    h-index

  4. SH
    Seongjoon Hong

    Korea University, South Korea

    1 publications · 28 citations

    1

    h-index

  5. LA
    Leslie Ann Goldberg

    University of Warwick, United Kingdom

    1 publications · 20 citations

    1

    h-index

1–5 of 40

Venues

  1. Algorithmica

    1 publications · 10 citations

    1

    h-index

  2. Artificial Intelligence and Law

    AIL · 1 publications · 24 citations

    1

    h-index

  3. IEEE Computer Graphics and Applications

    1 publications · 21 citations

    1

    h-index

  4. Journal of Electronic Testing

    JETTA · 1 publications · 39 citations

    1

    h-index

  5. Journal of Algorithms

    1 publications · 20 citations

    1

    h-index

1–5