Knowledge Graph Retrieval

Knowledge Graph Retrieval is a computational method that identifies and extracts relevant nodes or subgraphs from a knowledge graph based on a query, distinguished by its reliance on structured semantic relationships to enable precise, context-aware information access within the domain of Semantic Search.

52

Publications

2.2K

Citations

214

Authors

83

Institutions

Publications per year

2017–2026

43

Authors

214

  1. EM
    Edgar Meij

    University of Amsterdam, Netherlands

    2 publications · 103 citations

    2

    h-index

  2. XY
    Xifeng Yan

    University of California, Santa Barbara, United States

    2 publications · 69 citations

    2

    h-index

  3. XZ
    Xiaokang Zhang

    Renmin University of China, China

    1 publications · 93 citations

    1

    h-index

  4. XP
    Xin Peng

    Fudan University, China

    1 publications · 14 citations

    1

    h-index

  5. CY
    Chen Yuan

    Global Energy Interconnection Research Institute North America, United States

    1 publications · 73 citations

    1

    h-index

1–5 of 214

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 166 citations

    4

    h-index

  2. Information Processing & Management

    2 publications · 76 citations

    2

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 178 citations

    2

    h-index

  4. Online Information Review

    1 publications · 67 citations

    1

    h-index

  5. Journal of Physics Conference Series

    1 publications · 20 citations

    1

    h-index

1–5