Graph-based Querying

Graph-Based Querying is a visual querying method that employs graph structures to represent and navigate relationships between visual data elements, distinguishing itself by leveraging nodes and edges to model semantic or spatial associations for interactive exploration and retrieval.

250

Publications

12.3K

Citations

673

Authors

293

Institutions

Publications per year

2017–2026

70

Authors

673

  1. LL
    Leonid Libkin

    University of Edinburgh, United Kingdom

    11 publications · 1.3K citations

    11

    h-index

  2. SS
    Sourav S. Bhowmick

    Nanyang Technological University, Singapore

    12 publications · 249 citations

    11

    h-index

  3. AB
    Angela Bonifati

    Université Claude Bernard Lyon 1, France

    10 publications · 365 citations

    10

    h-index

  4. BC
    Byron Choi

    Hong Kong Baptist University, Hong Kong SAR China

    11 publications · 236 citations

    10

    h-index

  5. GF
    George Fletcher

    Eindhoven University of Technology, Netherlands

    8 publications · 301 citations

    8

    h-index

1–5 of 673

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 18 publications · 1.1K citations

    16

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 10 publications · 456 citations

    10

    h-index

  3. ACM SIGMOD Record

    6 publications · 424 citations

    6

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 129 citations

    6

    h-index

  5. The VLDB Journal

    3 publications · 158 citations

    3

    h-index

1–5