Property Graph Modeling

Property Graph Modeling is a data modeling approach that represents knowledge as a graph structure in which entities and relationships are nodes and edges, respectively, and both are enriched with key-value attributes, thereby extending the expressiveness of traditional graph models through fine-grained property annotation.

47

Publications

2K

Citations

172

Authors

86

Institutions

Publications per year

2017–2026

31

Authors

172

  1. RA
    Renzo Angles

    University of Talca, Chile

    4 publications · 235 citations

    4

    h-index

  2. OH
    Olaf Hartig

    Linköping University, Sweden

    3 publications · 80 citations

    3

    h-index

  3. MJ
    Martin Junghanns

    Center for Scalable Data Analytics and Artificial Intelligence, Germany

    3 publications · 73 citations

    3

    h-index

  4. ER
    Erhard Rahm

    Leipzig University, Germany

    3 publications · 73 citations

    3

    h-index

  5. AP
    André Petermann

    Center for Scalable Data Analytics and Artificial Intelligence, Germany

    3 publications · 73 citations

    3

    h-index

1–5 of 172

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 101 citations

    4

    h-index

  2. IEEE Micro

    1 publications · 42 citations

    1

    h-index

  3. IEEE Access

    1 publications · 72 citations

    1

    h-index

  4. 2021 IEEE International Conference on Big Data (Big Data)

    Conference · 1 publications · 31 citations

    1

    h-index

  5. Proceedings of the ACM on Management of Data

    1 publications · 72 citations

    1

    h-index

1–5