Multiple Network Alignment

Multiple Network Alignment is a network alignment methodology that generalizes pairwise alignment by simultaneously identifying node correspondences across more than two networks while preserving structural and attribute similarities.

24

Publications

2K

Citations

77

Authors

42

Institutions

Publications per year

2017–2026

12

Authors

77

  1. BY
    Byung-Jun Yoon

    Texas A&M University, United States

    3 publications · 140 citations

    3

    h-index

  2. JH
    Jialu Hu

    Fudan University, China

    2 publications · 101 citations

    2

    h-index

  3. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    2 publications · 212 citations

    2

    h-index

  4. JF
    Jason Flannick

    Broad Institute, United States

    2 publications · 429 citations

    2

    h-index

  5. BS
    Balaji S. Srinivasan

    Stanford University, United States

    2 publications · 429 citations

    2

    h-index

1–5 of 77

Venues

  1. Bioinformatics

    5 publications · 645 citations

    5

    h-index

  2. BMC Bioinformatics

    2 publications · 33 citations

    2

    h-index

  3. Journal of Computational Biology

    2 publications · 181 citations

    2

    h-index

  4. PLoS ONE

    2 publications · 142 citations

    2

    h-index

  5. Information Sciences

    1 publications · 29 citations

    1

    h-index

1–5