Geometric Representation Approximation
Geometric Representation Approximation is a computational method that approximates complex geometric structures by simplified representations while preserving essential topological or metric properties inherent to the original forms.
195
Publications
16.6K
Citations
494
Authors
265
Institutions
Publications per year
2017–2026
30
Parents
195
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang, Yongbin Sun, Ziwei Liu et al. · ACM Transactions on Graphics · 2019 · 6.7K citations · Full text
The geometry of graphs and some of its algorithmic applications
Nathan Linial, Eran London, Yuri Rabinovich · COMBINATORICA · 1995 · 974 citations
1–5 of 195
494
University of North Carolina at Chapel Hill, United States
4 publications · 327 citations
4
h-index
3
h-index
3
h-index
University of North Carolina at Chapel Hill, United States
3 publications · 966 citations
3
h-index
2
h-index
1–5 of 494
265

Centre National de la Recherche Scientifique
Paris, France
12 h-index
33 publications
1.8K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
6 h-index
13 publications
1.5K citations
University of California, Berkeley
Berkeley, United States
5 h-index
6 publications
7.1K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
7 publications
176 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
9 publications
455 citations

University of Toronto
Toronto, Canada
4 h-index
6 publications
1.4K citations
Graz University of Technology
Graz, Austria
3 h-index
3 publications
72 citations
University of Illinois Chicago
Chicago, United States
3 h-index
5 publications
233 citations
1–8 of 265
7 publications · 331 citations
7
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TOG · 5 publications · 6.8K citations
5
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5 publications · 115 citations
5
h-index
5 publications · 159 citations
5
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TPAMI · 4 publications · 370 citations
4
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1–5