Graph Coloring Approximation

Graph Coloring Approximation is an approximation algorithm that belongs to the class of combinatorial optimization methods, specifically designed to assign colors to the vertices of a graph in a way that minimizes the number of colors used while ensuring no two adjacent vertices share the same color, distinguishing itself by providing near-optimal solutions to the NP-hard graph coloring problem within polynomial time.

444

Publications

20.3K

Citations

766

Authors

405

Institutions

Publications per year

2017–2026

49

Authors

766

  1. JH
    Jin‐Kao Hao

    Université d'Angers, France

    12 publications · 684 citations

    12

    h-index

  2. AK
    Alexandr Kostochka

    University of Illinois Urbana-Champaign, United States

    9 publications · 338 citations

    9

    h-index

  3. AH
    Alain Hertz

    École Polytechnique Fédérale de Lausanne, Switzerland

    9 publications · 1.4K citations

    9

    h-index

  4. VT
    Vangélis Th. Paschos

    Université Paris Dauphine-PSL, France

    7 publications · 138 citations

    7

    h-index

  5. NZ
    Nicolas Zufferey

    University of Geneva, Switzerland

    7 publications · 795 citations

    7

    h-index

1–5 of 766

Venues

  1. Discrete Mathematics

    43 publications · 1.3K citations

    21

    h-index

  2. Discrete Applied Mathematics

    46 publications · 1.3K citations

    21

    h-index

  3. Journal of Combinatorial Theory Series B

    19 publications · 622 citations

    16

    h-index

  4. Information Processing Letters

    23 publications · 886 citations

    16

    h-index

  5. Theoretical Computer Science

    19 publications · 575 citations

    15

    h-index

1–5