Abstract
In 1992 Biró, Hujter and Tuza introduced, for every fixed connected graph H, the class of H-graphs, defined as the intersection graphs of connected subgraphs of some subdivision of H. Such classes of graphs are related to many known graph classes: for example, K2-graphs coincide with interval graphs, K3-graphs with circular-arc graphs, the union of T -graphs, where T ranges over all trees, coincides with chordal graphs. Recently, quite a lot of research has been devoted to understanding the tractability border for various computational problems, such as recognition or isomorphism testing, in classes of H-graphs for different graphs H.
In this work we undertake this research topic, focusing on the recognition problem. Chaplick, Töpfer, Voborník, and Zeman showed an XP-algorithm testing whether a given graph is a T -graph, where the parameter is the size of the tree T. In particular, for every fixed tree T the recognition of T -graphs can be solved in polynomial time. Tucker showed a polynomial time algorithm recognizing K3-graphs (circular-arc graphs). On the other hand, Chaplick et al. showed also that for every fixed graph H containing two distinct cycles sharing an edge, the recognition of H-graphs is NP-hard.
The main two results of this work narrow the gap between the NP-hard and P cases of H-graph recognition. First, we show that the recognition of H-graphs is NP-hard when H contains two distinct cycles. On the other hand, we show a polynomial-time algorithm recognizing L-graphs, where L is a graph containing a cycle and an edge attached to it (which we call lollipop graphs). Our work leaves open the recognition problems of M -graphs for every unicyclic graph M different from a cycle and a lollipop.
In this work we undertake this research topic, focusing on the recognition problem. Chaplick, Töpfer, Voborník, and Zeman showed an XP-algorithm testing whether a given graph is a T -graph, where the parameter is the size of the tree T. In particular, for every fixed tree T the recognition of T -graphs can be solved in polynomial time. Tucker showed a polynomial time algorithm recognizing K3-graphs (circular-arc graphs). On the other hand, Chaplick et al. showed also that for every fixed graph H containing two distinct cycles sharing an edge, the recognition of H-graphs is NP-hard.
The main two results of this work narrow the gap between the NP-hard and P cases of H-graph recognition. First, we show that the recognition of H-graphs is NP-hard when H contains two distinct cycles. On the other hand, we show a polynomial-time algorithm recognizing L-graphs, where L is a graph containing a cycle and an edge attached to it (which we call lollipop graphs). Our work leaves open the recognition problems of M -graphs for every unicyclic graph M different from a cycle and a lollipop.
Original language | English |
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Title of host publication | Proceedings of the 48th International Symposium on Mathematical Foundations of Computer Science (MFCS 2023) |
Volume | 272 |
Publisher | Schloss Dagstuhl - Leibniz-Zentrum für Informatik |
Publication date | 2023 |
Pages | 8:1-8:14 |
ISBN (Print) | 978-3-95977-292-1 |
DOIs | |
Publication status | Published - 2023 |
Event | 48th International Symposium on Mathematical Foundations of Computer Science - Bordeaux, France Duration: 28 Aug 2023 → 1 Sept 2023 |
Conference
Conference | 48th International Symposium on Mathematical Foundations of Computer Science |
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Country/Territory | France |
City | Bordeaux |
Period | 28/08/2023 → 01/09/2023 |
Keywords
- H-graphs
- Intersection Graphs
- Helly Property