Non-crossing $H$-graphs: a generalization of proper interval graphs admitting FPT algorithms
Flavia Bonomo-Braberman, Nick Brettell, Noleen K\"ohler, Andrea Munaro, Dani\"el Paulusma

TL;DR
This paper investigates the parameterized complexity of FO Model Checking on $H$-graphs, revealing that non-crossing $H$-graphs admit fixed-parameter tractable algorithms, unlike proper $H$-graphs which are generally hard.
Contribution
It generalizes known results to $H$-graphs, distinguishes complexity between proper and non-crossing subclasses, and solves an open problem regarding algorithmic differences.
Findings
FO Model Checking is FPT on non-crossing $H$-graphs.
Proper $H$-graphs can be AW[*]-hard for FO Model Checking.
Non-crossing $H$-graphs have bounded twin-width, enabling efficient algorithms.
Abstract
We prove new parameterized complexity results for the FO Model Checking problem on a well-known generalization of interval and circular-arc graphs: the class of -graphs, for any fixed multigraph . In particular, we research how the parameterized complexity differs between two subclasses of -graphs: proper -graphs and non-crossing -graphs, each generalizing proper interval graphs and proper circular-arc graphs. We first generalize a known result of Bonnet et al. (IPEC 2022) from interval graphs to -graphs, for any (simple) forest , by showing that for such , the class of -graphs is delineated. This implies that for every hereditary subclass of -graphs, FO Model Checking is in FPT if has bounded twin-width and AW[]-hard otherwise. As proper claw-graphs have unbounded twin-width, this means that FO Model Checking is AW[]-hard for…
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Taxonomy
TopicsAdvanced Database Systems and Queries · Data Management and Algorithms · Algorithms and Data Compression
