Graph Refinement

Graph Refinement is a multilevel graph visualization technique that iteratively enhances the structural accuracy and visual clarity of a coarse graph representation by reintroducing suppressed details and optimizing layout at increasingly finer levels of granularity.

41

Publications

5.3K

Citations

153

Authors

73

Institutions

Publications per year

2017–2026

24

Authors

153

  1. ED
    Errui Ding

    Baidu (China), China

    3 publications · 107 citations

    3

    h-index

  2. ZZ
    Ziqi Zhang

    Tsinghua University, China

    2 publications · 965 citations

    2

    h-index

  3. YD
    Ying Deng

    Chinese Academy of Sciences, China

    2 publications · 965 citations

    2

    h-index

  4. BL
    Bing Li

    Chinese Academy of Sciences, China

    2 publications · 965 citations

    2

    h-index

  5. WH
    Weiming Hu

    Institute of Automation, China

    2 publications · 965 citations

    2

    h-index

1–5 of 153

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 196 citations

    6

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 122 citations

    2

    h-index

  3. IEEE Transactions on Multimedia

    2 publications · 111 citations

    2

    h-index

  4. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 1 publications · 914 citations

    1

    h-index

  5. Biomedical Optics Express

    BOE · 1 publications · 39 citations

    1

    h-index

1–5