Data reduction, exact, and heuristic algorithms for clique cover

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Abstract

To cover the edges of a graph with a minimum number of cliques is an NP-complete problem with many applications. The state-of-the-art solving algorithm is a polynomial-time heuristic from the 1970's. We present an improvement of this heuristic. Our main contribution, however, is the development of efficient and effective polynomial-time data reduction rules that, combined with a search tree algorithm, allow for exact problem solutions in competitive time. This is confirmed by experiments with real-world and synthetic data. Moreover, we prove the fixed-parameter tractability of covering edges by cliques.

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Gramm, J., Guo, J., Hüffner, F., & Niedermeier, R. (2006). Data reduction, exact, and heuristic algorithms for clique cover. In Proceedings of the 8th Workshop on Algorithm Engineering and Experiments and the 3rd Workshop on Analytic Algorithms and Combinatorics (Vol. 2006, pp. 86–94). Society for Industrial and Applied Mathematics Publications. https://doi.org/10.1137/1.9781611972863.9

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