Structural Graph Features

Structural Graph Features is a type of graph feature in network analysis that captures topological properties of a graph, such as degree distribution, connectivity patterns, and substructure frequencies, to distinguish nodes, edges, or entire graphs based on their structural roles and positions within the overall graph architecture.

276

Publications

15.9K

Citations

1K

Authors

433

Institutions

Publications per year

2017–2026

166

Authors

1K

  1. JW
    Jia Wu

    Macquarie University, Australia

    4 publications · 263 citations

    4

    h-index

  2. NT
    Nenad Trinajstić

    Ruđer Bošković Institute, Croatia

    3 publications · 139 citations

    3

    h-index

  3. MD
    Matthias Dehmer

    UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik, Austria

    3 publications · 71 citations

    3

    h-index

  4. BZ
    Bo Zong

    NEC (United States), United States

    2 publications · 40 citations

    2

    h-index

  5. JF
    Jing Feng

    Wuhan University, China

    2 publications · 38 citations

    2

    h-index

1–5 of 1K

Venues

  1. arXiv (Cornell University)

    Repository · 15 publications · 393 citations

    12

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 8 publications · 272 citations

    8

    h-index

  3. IEEE Access

    6 publications · 297 citations

    6

    h-index

  4. 6

    h-index

  5. Physical Review E

    PRE · 5 publications · 185 citations

    5

    h-index

1–5