Graph Indexing

Graph Indexing is a computational method that organizes graph-structured data into specialized data structures to enable efficient query processing and pattern retrieval by exploiting structural and semantic properties unique to graphs.

710

Publications

39.9K

Citations

1.6K

Authors

589

Institutions

Publications per year

2017–2026

229

Authors

1.6K

  1. JX
    Jeffrey Xu Yu

    Chinese University of Hong Kong, Hong Kong SAR China

    33 publications · 2.9K citations

    25

    h-index

  2. LQ
    Lu Qin

    University of Technology Sydney, Australia

    32 publications · 2.4K citations

    24

    h-index

  3. XL
    Xuemin Lin

    UNSW Sydney, Australia

    30 publications · 2K citations

    21

    h-index

  4. YZ
    Ying Zhang

    UNSW Sydney, Australia

    23 publications · 1.7K citations

    20

    h-index

  5. WZ
    Wenjie Zhang

    UNSW Sydney, Australia

    18 publications · 1.3K citations

    17

    h-index

1–5 of 1.6K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 62 publications · 5.2K citations

    37

    h-index

  2. Discrete Applied Mathematics

    29 publications · 1.1K citations

    20

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 25 publications · 1K citations

    19

    h-index

  4. The VLDB Journal

    13 publications · 1.1K citations

    13

    h-index

  5. arXiv (Cornell University)

    Repository · 15 publications · 344 citations

    13

    h-index

1–5