Linear Time Recognition of Equimatchable Split Graphs
Mehmet Akif Y{\i}ld{\i}z

TL;DR
This paper presents a linear time algorithm to recognize equimatchable split graphs, a class of graphs where all maximal matchings have the same size and vertices can be partitioned into a clique and an independent set.
Contribution
The paper introduces the first linear time recognition algorithm for equimatchable split graphs, combining properties of split graphs and equimatchability.
Findings
Linear time recognition algorithm for equimatchable split graphs
Characterization of equimatchable split graphs
Efficient graph classification method
Abstract
A maximal matching that consists of independent edges is a subgraph of a simple and undirected graph for which forms an independent set. A graph is called equimatchable if all maximal matchings have the same number of edges. On the other hand, is called as a split graph if its vertices can be partitioned into two subsets for which one of them forms a clique whereas the second forms an independent set. We will give a linear time algorithm for recognition of equimatchable split graphs.
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.
Taxonomy
TopicsAdvanced Graph Theory Research · Graph Theory and Algorithms · Algorithms and Data Compression
