### Abstract

Motivated by hybrid graph representations, we introduce and study the following beyond-planarity problem, which we call h-Clique2Path Planarity: Given a graph G, whose vertices are partitioned into subsets of size at most h, each inducing a clique, remove edges from each clique so that the subgraph induced by each subset is a path, in such a way that the resulting subgraph of G is planar. We study this problem when G is a simple topological graph, and establish its complexity in relation to k-planarity. We prove that h-Clique2Path Planarity is NP-complete even when h=4 and G is a simple 3-plane graph, while it can be solved in linear time, for any h, when G is 1-plane.

Original language | English (US) |
---|---|

Title of host publication | Graph Drawing and Network Visualization - 26th International Symposium, GD 2018, Proceedings |

Editors | Therese Biedl, Andreas Kerren |

Publisher | Springer-Verlag |

Pages | 67-74 |

Number of pages | 8 |

ISBN (Print) | 9783030044138 |

DOIs | |

State | Published - Jan 1 2018 |

Event | 26th International Symposium on Graph Drawing and Network Visualization, GD 2018 - Barcelona, Spain Duration: Sep 26 2018 → Sep 28 2018 |

### Publication series

Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|

Volume | 11282 LNCS |

ISSN (Print) | 0302-9743 |

ISSN (Electronic) | 1611-3349 |

### Other

Other | 26th International Symposium on Graph Drawing and Network Visualization, GD 2018 |
---|---|

Country | Spain |

City | Barcelona |

Period | 9/26/18 → 9/28/18 |

### ASJC Scopus subject areas

- Theoretical Computer Science
- Computer Science(all)

## Fingerprint Dive into the research topics of 'Turning cliques into paths to achieve planarity'. Together they form a unique fingerprint.

## Cite this

*Graph Drawing and Network Visualization - 26th International Symposium, GD 2018, Proceedings*(pp. 67-74). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11282 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-04414-5_5