Maximum Clique Approximation
Maximum Clique Approximation is an approximation algorithm designed to find a maximal complete subgraph in an undirected graph, differing from exact clique algorithms by providing a computationally efficient solution with a guaranteed performance ratio relative to the optimal clique size.
108
Publications
9.4K
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241
Authors
148
Institutions
Publications per year
2017–2026
18
Parents
108
New methods to color the vertices of a graph
Daniel Brélaz · Communications of the ACM · 1979 · 1.6K citations · Full text
Proof verification and hardness of approximation problems
Sanjeev Arora, Carsten Lund, R. Motwani et al. · 1992 · 744 citations
Interactive proofs and the hardness of approximating cliques
Uriel Feige, Shafi Goldwasser, László Lovász et al. · Journal of the ACM · 1996 · 524 citations · Full text
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Rutgers, The State University of New Jersey, United States
3 publications · 1.3K citations
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148
AT&T (United States)
Bedminster, United States
4 h-index
7 publications
2.1K citations
University of Haifa
Haifa, Israel
4 h-index
5 publications
116 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
10 publications
469 citations
University of Maryland, College Park
College Park, United States
4 h-index
6 publications
145 citations
Simon Fraser University
Burnaby, Canada
3 h-index
7 publications
102 citations
Université Paris Cité
Paris, France
3 h-index
5 publications
407 citations
University at Buffalo, State University of New York
Buffalo, United States
3 h-index
3 publications
63 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
169 citations
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5 publications · 137 citations
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4 publications · 147 citations
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4 publications · 696 citations
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4 publications · 449 citations
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