EPG graphs, introduced by Golumbic et al. in 2009, are edge-intersection graphs of paths on an orthogonal grid. The class BK -EPG is the subclass of EPG graphs where the path on the grid associated to each vertex has at most k bends. Epstein et al. showed in 2013 that computing a maximum clique in B1 -EPG graphs is polynomial. As remarked in [Heldt et al. 2014], when the number of bends is at least 4, the class contains 2-interval graphs for which computing a maximum clique is an NP-hard problem. The complexity status of the Maximum Clique problem remains open for B2 and B3 -EPG graphs. In this paper, we show that we can compute a maximum clique in polynomial time in B2 -EPG graphs given a representation of the graph. Moreover, we show that a simple counting argument provides a 2(k+1)-approximation for the coloring problem on BK -EPG graphs without knowing the representation of the graph. It generalizes a result of [Epstein et al. 2013] on B1-EPG graphs (where the representation was needed).
CITATION STYLE
Bousquet, N., & Heinrich, M. (2017). Computing maximum cliques in B2 -EPG graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10520 LNCS, pp. 140–152). Springer Verlag. https://doi.org/10.1007/978-3-319-68705-6_11
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