Graph Querying

Graph Querying is a computational method within network exploration that identifies and retrieves subgraphs or structural patterns from a graph database according to specified query criteria.

675

Publications

41.8K

Citations

1.5K

Authors

506

Institutions

Publications per year

2017–2026

225

Authors

1.5K

  1. JX
    Jeffrey Xu Yu

    Chinese University of Hong Kong, Hong Kong SAR China

    29 publications · 3.2K citations

    25

    h-index

  2. XL
    Xuemin Lin

    UNSW Sydney, Australia

    28 publications · 2.3K citations

    20

    h-index

  3. LQ
    Lu Qin

    University of Technology Sydney, Australia

    22 publications · 2.3K citations

    17

    h-index

  4. WZ
    Wenjie Zhang

    UNSW Sydney, Australia

    17 publications · 1.5K citations

    15

    h-index

  5. LL
    Leonid Libkin

    University of Edinburgh, United Kingdom

    14 publications · 1.3K citations

    14

    h-index

1–5 of 1.5K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 68 publications · 6K citations

    42

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 30 publications · 1.1K citations

    20

    h-index

  3. The VLDB Journal

    18 publications · 1.2K citations

    16

    h-index

  4. arXiv (Cornell University)

    Repository · 16 publications · 295 citations

    12

    h-index

  5. ACM Transactions on Database Systems

    TODS · 10 publications · 584 citations

    10

    h-index

1–5