Graph Matching Visualization

Graph Matching Visualization is a visualization method that specifically represents the correspondence and structural alignment between nodes and edges of two or more semantic graphs, distinguished by its focus on illustrating relational congruence and transformation across heterogeneous or homogenous graph data.

5

Publications

276

Citations

19

Authors

11

Institutions

Publications per year

2017–2026

1

Authors

19

  1. BG
    Baining Guo

    Microsoft Research Asia (China), China

    2 publications · 187 citations

    2

    h-index

  2. JC
    Jianfei Chen

    Tsinghua University, China

    2 publications · 187 citations

    2

    h-index

  3. XW
    Xiting Wang

    Microsoft Research Asia (China), China

    2 publications · 187 citations

    2

    h-index

  4. XS
    Xuan Song

    Shanghai Jiao Tong University, China

    1 publications · 13 citations

    1

    h-index

  5. JL
    Junlin Liu

    Shandong University of Finance and Economics, China

    1 publications · 115 citations

    1

    h-index

1–5 of 19

Venues

  1. Computer Vision and Image Understanding

    CVIU · 1 publications · 13 citations

    1

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 115 citations

    1

    h-index

1–2