Topological Feature Engineering

Topological Feature Engineering is a methodological framework within graph feature engineering that derives features from the higher-order connectivity patterns and structural hierarchies of a graph, leveraging topological data analysis to capture intrinsic geometric and algebraic invariants beyond local neighborhood structures.

57

Publications

2.9K

Citations

168

Authors

84

Institutions

Publications per year

2017–2026

31

Authors

168

  1. BM
    Bertrand Michel

    Laboratoire de Statistique Théorique et Appliquée, France

    3 publications · 247 citations

    3

    h-index

  2. SO
    Steve Oudot

    Centre Inria de Saclay, France

    2 publications · 72 citations

    2

    h-index

  3. SZ
    Shifeng Zhou

    Zhejiang University, China

    2 publications · 132 citations

    2

    h-index

  4. PT
    Paul Tavan

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 69 citations

    2

    h-index

  5. GH
    Gunther H. Weber

    Lawrence Berkeley National Laboratory, United States

    2 publications · 95 citations

    2

    h-index

1–5 of 168

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 125 citations

    3

    h-index

  2. Journal of Mathematical Chemistry

    3 publications · 438 citations

    3

    h-index

  3. Journal of Physics Conference Series

    2 publications · 120 citations

    2

    h-index

  4. Advances in Engineering Software

    1 publications · 50 citations

    1

    h-index

  5. Electronic Notes in Discrete Mathematics

    1 publications · 15 citations

    1

    h-index

1–5