Graph-based Pattern Recognition

Graph-Based Pattern Recognition is a pattern recognition approach that uses graph structures as the fundamental representation for modeling objects and their relational attributes, distinguishing itself by leveraging topological and structural relationships among entities to facilitate recognition tasks.

405

Publications

96K

Citations

1K

Authors

434

Institutions

Publications per year

2017–2026

107

Authors

1K

  1. HB
    Horst Bunke

    University of Bern, Switzerland

    9 publications · 999 citations

    9

    h-index

  2. PF
    Pasquale Foggia

    University of Salerno, Italy

    7 publications · 1.9K citations

    7

    h-index

  3. CP
    Christophe Paul

    Centre National de la Recherche Scientifique, France

    7 publications · 592 citations

    7

    h-index

  4. AR
    Antonello Rizzi

    Sapienza University of Rome, Italy

    7 publications · 162 citations

    7

    h-index

  5. ER
    Edwin R. Hancock

    University of York, United Kingdom

    6 publications · 103 citations

    6

    h-index

1–5 of 1K

Venues

  1. Pattern Recognition

    23 publications · 1.2K citations

    18

    h-index

  2. Pattern Recognition Letters

    15 publications · 920 citations

    14

    h-index

  3. 11

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 10 publications · 3.8K citations

    10

    h-index

  5. IEEE Transactions on Systems Man and Cybernetics

    8 publications · 1.7K citations

    8

    h-index

1–5