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Journal ArticleDOI

On cliques in graphs

J. W. Moon, +1 more
- 01 Mar 1965 - 
- Vol. 3, Iss: 1, pp 23-28
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TLDR
In this article, the maximum number of cliques possible in a graph with n nodes is determined and bounds are obtained for the number of different sizes of clique possible in such a graph.
Abstract
A clique is a maximal complete subgraph of a graph. The maximum number of cliques possible in a graph withn nodes is determined. Also, bounds are obtained for the number of different sizes of cliques possible in such a graph.

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Proceedings ArticleDOI

Spectrum bandit optimization

TL;DR: In this article, the problem of allocating radio channels to links in a wireless network is formulated as a generic linear bandit problem and analyzed in a stochastic setting where radio conditions are driven by a i.i.d. stochastically process.
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Semantic Representations and Query Languages for Or-Sets

TL;DR: A query language with adequate expressive power for or- sets is formulated using the notion of normalization of or-sets, and queries at the “structural” and “conceptual” levels are distinguished.
Journal ArticleDOI

MIMO: an efficient tool for molecular interaction maps overlap

TL;DR: MIMO offers a flexible and efficient graph-matching tool for comparing complex biological pathways and relies directly on the rich graph topology described in the Systems Biology Markup Language (SBML) standard to efficiently handle multiple queries on biological graph databases.
Proceedings ArticleDOI

Enumerating k-Vertex Connected Components in Large Graphs

TL;DR: In this article, the authors proposed two effective optimization strategies, namely neighbor sweep and group sweep, to reduce the number of local connectivity testings in k-VCC enumeration.
Journal ArticleDOI

Note: Graphs with the second largest number of maximal independent sets

TL;DR: This paper determines the second largest number of maximal independent sets among all trees and forests of order n>=4 and characterize those extremal graphs achieving these values.
References
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Journal ArticleDOI

On the theory of graphs

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