English

Computing maximum cliques in $B_2$-EPG graphs

Data Structures and Algorithms 2017-06-22 v1 Combinatorics

Abstract

EPG graphs, introduced by Golumbic et al. in 2009, are edge-intersection graphs of paths on an orthogonal grid. The class BkB_k-EPG is the subclass of EPG graphs where the path on the grid associated to each vertex has at most kk bends. Epstein et al. showed in 2013 that computing a maximum clique in B1B_1-EPG graphs is polynomial. As remarked in [Heldt et al., 2014], when the number of bends is at least 44, the class contains 22-interval graphs for which computing a maximum clique is an NP-hard problem. The complexity status of the Maximum Clique problem remains open for B2B_2 and B3B_3-EPG graphs. In this paper, we show that we can compute a maximum clique in polynomial time in B2B_2-EPG graphs given a representation of the graph. Moreover, we show that a simple counting argument provides a 2(k+1){2(k+1)}-approximation for the coloring problem on BkB_k-EPG graphs without knowing the representation of the graph. It generalizes a result of [Epstein et al, 2013] on B1B_1-EPG graphs (where the representation was needed).

Keywords

Cite

@article{arxiv.1706.06685,
  title  = {Computing maximum cliques in $B_2$-EPG graphs},
  author = {Nicolas Bousquet and Marc Heinrich},
  journal= {arXiv preprint arXiv:1706.06685},
  year   = {2017}
}
R2 v1 2026-06-22T20:24:37.278Z