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
5
TopicPanorama: A Full Picture of Relevant Topics
Xiting Wang, Junlin Liu, Jianfei Chen et al. · IEEE Transactions on Visualization and Computer Graphics · 2016 · 115 citations
TopicPanorama: A full picture of relevant topics
Xiting Wang, Jianfei Chen, Jim Zhu et al. · 2014 · 72 citations
Visualization of network data provenance
Peng Chen, Beth Plale, You-Wei Cheah et al. · 2012 · 42 citations
Visual graph mining for graph matching
Quanshi Zhang, Xuan Song, Yu Tao Yang et al. · Computer Vision and Image Understanding · 2018 · 13 citations
1–5 of 5
19
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 19
11
Microsoft Research Asia (China)
Beijing, China
2 h-index
4 publications
331 citations
Tsinghua University
Beijing, China
2 h-index
8 publications
791 citations

Université de Montpellier
Montpellier, France
1 h-index
1 publications
34 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
6 publications
252 citations

Southern University of Science and Technology
Shenzhen, China
1 h-index
1 publications
13 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
1 publications
13 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
13 citations
Université Paris-Sud
Orsay, France
1 h-index
1 publications
34 citations
1–8 of 11
CVIU · 1 publications · 13 citations
1
h-index
TVCG · 1 publications · 115 citations
1
h-index
1–2