On Computing Vertex Connectivity of 1-Plane Graphs
Therese Biedl, Karthik Murali

TL;DR
This paper explores the vertex connectivity of 1-plane graphs, extending known algorithms from planar graphs to certain subclasses of 1-plane graphs with efficient linear-time solutions.
Contribution
It introduces structural properties of minimal vertex cuts in specific classes of 1-plane graphs and develops linear-time algorithms for computing their vertex connectivity.
Findings
For 1-plane graphs with K4 endpoint crossings, vertex cut structure matches that of planar graphs.
For other 1-plane graphs, minimal vertex cuts relate to cycles of bounded diameter in an auxiliary graph.
Linear-time algorithms are achieved for these subclasses of 1-plane graphs.
Abstract
The vertex connectivity of a graph is the size of the smallest set of vertices such that is disconnected. For the class of planar graphs, the problem of vertex connectivity is well-studied, both from structural and algorithmic perspectives. Let be a plane embedded graph, and be an auxiliary graph obtained by inserting a face vertex inside each face and connecting it to all vertices of incident with the face. If is a minimal vertex cut of , then there exists a cycle of length whose vertices alternate between vertices of and face vertices. This structure facilitates the designing of a linear-time algorithm to find minimum vertex cuts of planar graphs. In this paper, we attempt a similar approach for the class of 1-plane graphs -- these are graphs with a drawing on the plane where each edge is crossed at most once. We…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
