Graph Coloring Approximation
Graph Coloring Approximation is an approximation algorithm that belongs to the class of combinatorial optimization methods, specifically designed to assign colors to the vertices of a graph in a way that minimizes the number of colors used while ensuring no two adjacent vertices share the same color, distinguishing itself by providing near-optimal solutions to the NP-hard graph coloring problem within polynomial time.
444
Publications
20.3K
Citations
766
Authors
405
Institutions
Publications per year
2017–2026
49
Parents
444
Noga Alon, Raphael Yuster, Uri Zwick · Journal of the ACM · 1995 · 1K citations · Full text
Using tabu search techniques for graph coloring
Alain Hertz, D. de Werra · Computing · 1987 · 660 citations · Full text
Approximate graph coloring by semidefinite programming
David R. Karger, Rajeev Motwani, Madhu Sudan · Journal of the ACM · 1998 · 429 citations
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766
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University of Illinois Urbana-Champaign, United States
9 publications · 338 citations
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405

Centre National de la Recherche Scientifique
Paris, France
15 h-index
39 publications
883 citations

Université d'Angers
Angers, France
12 h-index
27 publications
1.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
12 h-index
14 publications
504 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
12 h-index
14 publications
2.2K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
14 publications
1.9K citations

Tel Aviv University
Tel Aviv, Israel
11 h-index
22 publications
3.6K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
11 h-index
14 publications
642 citations
Princeton University
Princeton, United States
10 h-index
11 publications
686 citations
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43 publications · 1.3K citations
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46 publications · 1.3K citations
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19 publications · 622 citations
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23 publications · 886 citations
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19 publications · 575 citations
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