Knowledge Graphs

Knowledge Graphs is a structured representation of knowledge that models entities, their attributes, and the semantic relationships between them within a specific domain, distinguished from other knowledge representations by its emphasis on interpretable, graph-based data structures where nodes denote entities and edges encode semantically meaningful relations.

4.5K

Publications

308.2K

Citations

12.7K

Authors

2.2K

Institutions

Publications per year

2017–2026

3.5K

Authors

12.7K

  1. ZL
    Zhiyuan Liu

    Tsinghua University, China

    43 publications · 10.8K citations

    30

    h-index

  2. HC
    Huajun Chen

    Zhejiang University, China

    42 publications · 2.6K citations

    26

    h-index

  3. JL
    Juanzi Li

    Tsinghua University, China

    28 publications · 2.7K citations

    21

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    29 publications · 4.7K citations

    21

    h-index

  5. SP
    Shirui Pan

    Monash University, Australia

    24 publications · 4.6K citations

    20

    h-index

1–5 of 12.7K

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 152 publications · 27.5K citations

    65

    h-index

  2. arXiv (Cornell University)

    Repository · 399 publications · 29.3K citations

    63

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 94 publications · 9.9K citations

    42

    h-index

  4. Knowledge-Based Systems

    123 publications · 5.3K citations

    42

    h-index

  5. IEEE Access

    84 publications · 3.4K citations

    33

    h-index

1–5