Structural Accuracy

Structural Accuracy is a model-level evaluation metric that quantifies the degree to which a computational model preserves the underlying relational architecture of a given domain, distinguishing it from performance-oriented metrics by focusing on the fidelity of representational structure rather than predictive outcomes.

76

Publications

5.3K

Citations

257

Authors

127

Institutions

Publications per year

2017–2026

28

Authors

257

  1. RR
    Ryan R. Wick

    The University of Melbourne, Australia

    4 publications · 599 citations

    4

    h-index

  2. KE
    Kathryn E. Holt

    The University of Melbourne, Australia

    4 publications · 599 citations

    4

    h-index

  3. DB
    David Baker

    University of Washington, United States

    3 publications · 300 citations

    3

    h-index

  4. IA
    Ivan Anishchenko

    University of Washington, United States

    3 publications · 271 citations

    3

    h-index

  5. YZ
    Yaoqi Zhou

    Griffith University, Australia

    3 publications · 186 citations

    3

    h-index

1–5 of 257

Venues

  1. Proteins Structure Function and Bioinformatics

    9 publications · 662 citations

    9

    h-index

  2. F1000Research

    4 publications · 599 citations

    4

    h-index

  3. Journal of the American Chemical Society

    JACS · 3 publications · 277 citations

    3

    h-index

  4. Physical Chemistry Chemical Physics

    PCCP · 2 publications · 171 citations

    2

    h-index

  5. Journal of Machine Learning Research

    JMLR · 2 publications · 217 citations

    2

    h-index

1–5