Spatial Graph Representation

Spatial Graph Representation is a formal method for modeling spatial knowledge by structuring entities and their relationships as a graph, where nodes represent spatial entities and edges encode topological, geometric, or semantic relations among them.

90

Publications

6.1K

Citations

261

Authors

151

Institutions

Publications per year

2017–2026

48

Authors

261

  1. NS
    Nageswara S. V. Rao

    Oak Ridge National Laboratory, United States

    3 publications · 153 citations

    3

    h-index

  2. CJ
    C.C. Jorgensen

    Ames Research Center, United States

    3 publications · 153 citations

    3

    h-index

  3. CW
    C.R. Weisbin

    Oak Ridge National Laboratory, United States

    3 publications · 153 citations

    3

    h-index

  4. KT
    Kouki Taniyama

    Tokyo Woman's Christian University, Japan

    3 publications · 63 citations

    3

    h-index

  5. ML
    Mengzhang Li

    Peking University, China

    2 publications · 917 citations

    2

    h-index

1–5 of 261

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 149 citations

    5

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 992 citations

    5

    h-index

  3. 3

    h-index

  4. Journal of the American Society for Information Science

    JASIS · 2 publications · 86 citations

    2

    h-index

  5. IEEE Transactions on Multimedia

    2 publications · 34 citations

    2

    h-index

1–5