Knowledge Graph Benchmarking

Knowledge Graph Benchmarking is a systematic evaluation framework that distinguishes itself by assessing the performance, quality, and interoperability of knowledge graphs through standardized datasets, tasks, and metrics within the domain of knowledge representation and reasoning.

90

Publications

7.8K

Citations

384

Authors

163

Institutions

Publications per year

2017–2026

86

Authors

384

  1. HC
    Huajun Chen

    Zhejiang University, China

    6 publications · 341 citations

    6

    h-index

  2. JL
    Jens Lehmann

    University of Bonn, Germany

    6 publications · 110 citations

    6

    h-index

  3. HP
    Heiko Paulheim

    University of Mannheim, Germany

    3 publications · 1.3K citations

    3

    h-index

  4. JL
    Jure Leskovec

    Stanford University, United States

    3 publications · 160 citations

    3

    h-index

  5. CM
    Chengsheng Mao

    Northwestern University, United States

    3 publications · 443 citations

    3

    h-index

1–5 of 384

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 2.1K citations

    12

    h-index

  2. Semantic Web

    6 publications · 1.8K citations

    6

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 154 citations

    3

    h-index

  4. 2

    h-index

  5. Journal of Web Semantics

    2 publications · 56 citations

    2

    h-index

1–5