Graph Simplification For Visualization
Graph Simplification for Visualization is a methodological framework within multilevel graph visualization that reduces graph complexity by preserving structurally salient features while eliminating less significant details, thereby enabling efficient and readable visual exploration of large-scale graph data.
8
Publications
278
Citations
36
Authors
20
Institutions
Publications per year
2017–2026
3
8
Level-of-detail visualization of clustered graph layouts
Michael Balzer · 2007 · 76 citations · Full text
Distance Preserving Graph Simplification
Ning Ruan, Ruoming Jin, Yan Huang · 2011 · 34 citations · Full text
1–5 of 8
36
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1–5 of 36
20

Pacific Northwest National Laboratory
Richland, United States
1 h-index
1 publications
16 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
20 citations

Central South University
Changsha, China
1 h-index
8 publications
680 citations
Key Laboratory of Guangdong Province
Guangzhou, China
1 h-index
1 publications
14 citations

University of North Texas
Denton, United States
1 h-index
1 publications
34 citations
Zhejiang University of Finance and Economics
Hangzhou, China
1 h-index
1 publications
85 citations

University of Notre Dame
Notre Dame, United States
1 h-index
2 publications
34 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
17 citations
1–8 of 20
TVCG · 5 publications · 152 citations
5
h-index
1 publications · 12 citations
1–2