Pairwise Network Alignment

Pairwise Network Alignment is a network alignment method that identifies the optimal correspondence between nodes of two biological or complex networks based on topological and/or attribute similarity, distinguished from multiple or global network alignment by its exclusive focus on pairwise comparisons.

22

Publications

1.7K

Citations

60

Authors

38

Institutions

Publications per year

2017–2026

9

Authors

60

  1. MC
    Mario Cannataro

    Magna Graecia University, Italy

    2 publications · 41 citations

    2

    h-index

  2. BY
    Byung-Jun Yoon

    Texas A&M University, United States

    2 publications · 29 citations

    2

    h-index

  3. JK
    Jugal Kalita

    University of Colorado Colorado Springs, United States

    2 publications · 226 citations

    2

    h-index

  4. CC
    Connor Clark

    University of Colorado Colorado Springs, United States

    2 publications · 226 citations

    2

    h-index

  5. PC
    Pietro Cinaglia

    Magna Graecia University, Italy

    2 publications · 41 citations

    2

    h-index

1–5 of 60

Venues

  1. Bioinformatics

    6 publications · 556 citations

    6

    h-index

  2. BMC Bioinformatics

    5 publications · 299 citations

    5

    h-index

  3. Intelligent Data Analysis

    IDA · 1 publications · 13 citations

    1

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 17 citations

    1

    h-index

  5. BMC Systems Biology

    1 publications · 18 citations

    1

    h-index

1–5