Network Alignment Evaluation Metrics

Network Alignment Evaluation Metrics is a scholarly construct that, as a subclass of evaluation methodologies in network science, specifically quantifies the accuracy, robustness, and biological or functional relevance of mapped node correspondences between aligned biological or complex networks.

13

Publications

876

Citations

37

Authors

19

Institutions

Publications per year

2017–2026

3

Authors

37

  1. TM
    Tijana Milenković

    University of Notre Dame, United States

    6 publications · 376 citations

    6

    h-index

  2. LM
    Lei Meng

    University of Notre Dame, United States

    2 publications · 96 citations

    2

    h-index

  3. JC
    Joseph Crawford

    University of Notre Dame, United States

    2 publications · 58 citations

    2

    h-index

  4. SG
    Shawn Gu

    University of Notre Dame, United States

    2 publications · 66 citations

    2

    h-index

  5. AS
    Aaron Striegel

    University of Notre Dame, United States

    1 publications · 76 citations

    1

    h-index

1–5 of 37

Venues

  1. Bioinformatics

    2 publications · 252 citations

    2

    h-index

  2. 1

    h-index

  3. Algorithms for Molecular Biology

    AMB · 1 publications · 28 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 46 citations

    1

    h-index

  5. Lecture notes in computer science

    LNCS · Book series · 1 publications · 37 citations

    1

    h-index

1–5