Concepedia

Graph Embedding Visualization

Graph Embedding Visualization is a computational method that transforms graph-structured data into low-dimensional geometric representations while preserving semantic and topological relationships, enabling intuitive visual analysis of attributed and semantic networks.

3

Publications

131

Citations

12

Authors

6

Institutions

Publications per year

2017–2026

1

Parents

Publications

3

1–3 of 3

Authors

12

  1. HH
    Hammad Haleem

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 59 citations

    1

    h-index

  2. SP
    Sergey Pupyrev

    University of Arizona, United States

    1 publications · 15 citations

    1

    h-index

  3. AE
    Alon Efrat

    University of Arizona, United States

    1 publications · 15 citations

    1

    h-index

  4. QC
    Qiaoan Chen

    Tencent (China), China

    1 publications · 59 citations

    1

    h-index

  5. YH
    Yifan Hu

    AT&T (United States), United States

    1 publications · 15 citations

    1

    h-index

1–5 of 12

Institutions

6

  1. Tencent (China)

    Shenzhen, China

    1 h-index

    2 publications

    118 citations

  2. Yahoo (United States)

    Sunnyvale, United States

    1 h-index

    1 publications

    15 citations

  3. Ural Federal University

    Yekaterinburg, Russia

    1 h-index

    1 publications

    15 citations

  4. University of Arizona

    Tucson, United States

    1 h-index

    3 publications

    45 citations

  5. Cambridge Scientific (United States)

    Watertown, United States

    1 h-index

    2 publications

    114 citations

  6. Hong Kong University of Science and Technology

    Hong Kong, Hong Kong

    1 h-index

    4 publications

    236 citations

1–6 of 6

Venues

  1. Journal of Graph Algorithms and Applications

    JGAA · 1 publications · 15 citations

    1

    h-index

  2. Computer Graphics Forum

    1 publications · 57 citations

    1

    h-index

1–2