Graph Partitioning Approximation

Graph Partitioning Approximation is an algorithmic framework in the field of approximation algorithms that addresses the problem of partitioning a graph into disjoint subsets with specified balance and connectivity constraints while approximately minimizing or maximizing a given objective function such as cut size or modularity.

177

Publications

12.8K

Citations

387

Authors

183

Institutions

Publications per year

2017–2026

33

Authors

387

  1. UF
    Uriel Feige

    Weizmann Institute of Science, Israel

    7 publications · 476 citations

    7

    h-index

  2. RK
    Robert Krauthgamer

    Weizmann Institute of Science, Israel

    6 publications · 314 citations

    6

    h-index

  3. KM
    Konstantin Makarychev

    Microsoft (United States), United States

    5 publications · 155 citations

    5

    h-index

  4. JN
    Joseph Naor

    Technion – Israel Institute of Technology, Israel

    4 publications · 234 citations

    4

    h-index

  5. LT
    Luca Trevisan

    University of California, Berkeley, United States

    4 publications · 226 citations

    4

    h-index

1–5 of 387

Venues

  1. SIAM Journal on Computing

    9 publications · 1.6K citations

    9

    h-index

  2. arXiv (Cornell University)

    Repository · 7 publications · 235 citations

    7

    h-index

  3. Journal of Combinatorial Theory Series B

    6 publications · 299 citations

    6

    h-index

  4. Discrete Mathematics

    6 publications · 109 citations

    6

    h-index

  5. Discrete Applied Mathematics

    5 publications · 108 citations

    5

    h-index

1–5