Knowledge Graph Scalability

Knowledge Graph Scalability is a structural and computational property that characterizes the capacity of a knowledge graph to maintain performance efficiency and representation integrity as its volume, velocity, and variety of data increase progressively.

37

Publications

4.9K

Citations

147

Authors

73

Institutions

Publications per year

2017–2026

30

Authors

147

  1. TD
    Tim Dettmers

    Università della Svizzera italiana, Switzerland

    3 publications · 3.2K citations

    3

    h-index

  2. PS
    Pontus Stenetorp

    University College London, United Kingdom

    3 publications · 3.2K citations

    3

    h-index

  3. SR
    Sebastian Riedel

    University College London, United Kingdom

    3 publications · 3.2K citations

    3

    h-index

  4. PM
    Pasquale Minervini

    University College London, United Kingdom

    3 publications · 3.2K citations

    3

    h-index

  5. KH
    Katja Hose

    Aalborg University, Denmark

    2 publications · 48 citations

    2

    h-index

1–5 of 147

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 65 citations

    2

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 2.5K citations

    2

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 47 citations

    2

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 144 citations

    2

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 31 citations

    1

    h-index

1–5