Finding Geometric Representations of Apex Graphs is NP-Hard
Dibyayan Chakraborty, Kshitij Gajjar

TL;DR
This paper proves that determining the existence of geometric representations for apex graphs is NP-hard, even for graphs close to planar, advancing understanding of geometric graph recognition complexity.
Contribution
It establishes NP-hardness for recognizing geometric representations of apex graphs within various graph classes, partially answering an open problem and simplifying previous reductions.
Findings
Recognition of geometric representations for apex graphs is NP-hard.
NP-hardness holds even for apex graphs of high girth.
Reduces from Planar Hamiltonian Path Completion problem.
Abstract
Planar graphs can be represented as intersection graphs of different types of geometric objects in the plane, e.g., circles (Koebe, 1936), line segments (Chalopin \& Gon{\c{c}}alves, 2009), \textsc{L}-shapes (Gon{\c{c}}alves et al, 2018). For general graphs, however, even deciding whether such representations exist is often -hard. We consider apex graphs, i.e., graphs that can be made planar by removing one vertex from them. We show, somewhat surprisingly, that deciding whether geometric representations exist for apex graphs is -hard. More precisely, we show that for every positive integer , recognizing every graph class which satisfies is -hard, even when the input graphs are apex graphs of girth at least . Here, is the class of intersection graphs of axis-parallel…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Remote Sensing and LiDAR Applications · Manufacturing Process and Optimization
