Graph Matching

Graph Matching is a computational problem in graph theory that seeks to find a mapping between the vertices of two graphs such that the induced structural correspondence maximizes the alignment of edges, differing from related tasks by emphasizing pairwise node associations to preserve topological consistency.

2.2K

Publications

132.2K

Citations

4.5K

Authors

1.3K

Institutions

Publications per year

2017–2026

536

Authors

4.5K

  1. ER
    Edwin R. Hancock

    University of York, United Kingdom

    37 publications · 2.4K citations

    24

    h-index

  2. HB
    Horst Bunke

    University of Bern, Switzerland

    21 publications · 3.1K citations

    18

    h-index

  3. XL
    Xuemin Lin

    UNSW Sydney, Australia

    21 publications · 1.2K citations

    17

    h-index

  4. PF
    Pasquale Foggia

    University of Salerno, Italy

    16 publications · 4.6K citations

    16

    h-index

  5. EC
    Eddie Cheng

    Oakland University, United States

    19 publications · 583 citations

    16

    h-index

1–5 of 4.5K

Venues

  1. 47

    h-index

  2. Discrete Applied Mathematics

    55 publications · 2.1K citations

    27

    h-index

  3. Discrete Mathematics

    68 publications · 2.2K citations

    26

    h-index

  4. Pattern Recognition

    40 publications · 1.8K citations

    24

    h-index

  5. arXiv (Cornell University)

    Repository · 77 publications · 2.8K citations

    24

    h-index

1–5