Graph Data Modeling

Graph Data Modeling is a method in information modeling that represents data entities and their relationships as nodes and edges within a graph structure, emphasizing connectivity and relational patterns over hierarchical or tabular organization.

254

Publications

21.2K

Citations

820

Authors

341

Institutions

Publications per year

2017–2026

130

Authors

820

  1. LL
    Leonid Libkin

    University of Edinburgh, United Kingdom

    5 publications · 740 citations

    5

    h-index

  2. HW
    Haixun Wang

    Microsoft Research Asia (China), China

    5 publications · 839 citations

    5

    h-index

  3. JX
    Jeffrey Xu Yu

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 700 citations

    4

    h-index

  4. DZ
    Dongyan Zhao

    Peking University, China

    4 publications · 578 citations

    4

    h-index

  5. LZ
    Lei Zou

    Peking University, China

    4 publications · 578 citations

    4

    h-index

1–5 of 820

Venues

  1. arXiv (Cornell University)

    Repository · 22 publications · 585 citations

    15

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 9 publications · 1.1K citations

    9

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 211 citations

    4

    h-index

  4. Knowledge and Information Systems

    4 publications · 192 citations

    4

    h-index

  5. IEEE Access

    3 publications · 125 citations

    3

    h-index

1–5