Graph Data Structures

Graph Data Structures is a data organization paradigm that formally represents entities as vertices and relationships between entities as edges, distinguished from other data structures by its explicit modeling of pairwise connections within a networked topology.

832

Publications

60K

Citations

2.4K

Authors

820

Institutions

Publications per year

2017–2026

368

Authors

2.4K

  1. KH
    Kotaro Hirasawa

    Waseda University, Japan

    9 publications · 482 citations

    9

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    8 publications · 1.2K citations

    8

    h-index

  3. SM
    Shingo Mabu

    Waseda University, Japan

    8 publications · 472 citations

    8

    h-index

  4. JL
    Juan L. Reutter

    Pontificia Universidad Católica de Chile, Chile

    5 publications · 232 citations

    5

    h-index

  5. GF
    George Fletcher

    Eindhoven University of Technology, Netherlands

    5 publications · 239 citations

    5

    h-index

1–5 of 2.4K

Venues

  1. arXiv (Cornell University)

    Repository · 43 publications · 8.2K citations

    22

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 20 publications · 1.5K citations

    18

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 17 publications · 1.2K citations

    15

    h-index

  4. BMC Bioinformatics

    8 publications · 214 citations

    9

    h-index

  5. IEEE Access

    8 publications · 548 citations

    9

    h-index

1–5