Motif-based Features

Motif-Based Features is a graph feature engineering method that captures higher-order structural patterns by quantifying the occurrence and arrangement of small subgraph motifs within a network.

67

Publications

4.5K

Citations

254

Authors

126

Institutions

Publications per year

2017–2026

37

Authors

254

  1. DH
    De-Shuang Huang

    Tongji University, China

    3 publications · 172 citations

    3

    h-index

  2. XX
    Xiao-Ke Xu

    Dalian Minzu University, China

    2 publications · 44 citations

    2

    h-index

  3. WS
    William Stafford Noble

    University of Washington, United States

    2 publications · 173 citations

    2

    h-index

  4. HS
    Hong‐Bin Shen

    Shanghai Jiao Tong University, China

    2 publications · 288 citations

    2

    h-index

  5. KG
    Kiran Garimella

    Aalto University, Finland

    2 publications · 70 citations

    2

    h-index

1–5 of 254

Venues

  1. Bioinformatics

    4 publications · 761 citations

    4

    h-index

  2. 3

    h-index

  3. Nucleic Acids Research

    3 publications · 844 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 71 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 57 citations

    2

    h-index

1–5