Finding Triangles and Other Small Subgraphs in Geometric Intersection Graphs
Timothy M. Chan

TL;DR
This paper introduces new algorithms for detecting small subgraphs like triangles and cliques in geometric intersection graphs, achieving improved time complexities across various geometric objects.
Contribution
It provides novel algorithms with improved time bounds for finding small subgraphs in intersection graphs of line segments, boxes, and fat objects, extending previous results.
Findings
Algorithms for 3-cycle detection in $O(n^{1.408})$ time
Algorithms for 4-clique detection in near-$O(n^{24/13})$ time
Conditional lower bounds for independent set detection in boxes
Abstract
We consider problems related to finding short cycles, small cliques, small independent sets, and small subgraphs in geometric intersection graphs. We obtain a plethora of new results. For example: * For the intersection graph of line segments in the plane, we give algorithms to find a 3-cycle in time, a size-3 independent set in time, a 4-clique in near- time, and a -clique (or any -vertex induced subgraph) in time for any constant ; we can also compute the girth in near- time. * For the intersection graph of axis-aligned boxes in a constant dimension , we give algorithms to find a 3-cycle in time for any , a 4-clique (or any 4-vertex induced subgraph) in time for any , a size-4 independent set in near- time for any , a size-5…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Advanced Graph Theory Research · Remote Sensing and LiDAR Applications
