Clique versus Independent Set
Nicolas Bousquet, Aur\'elie Lagoutte, St\'ephan Thomass\'e

TL;DR
This paper investigates the Clique versus Independent Set problem in communication complexity, exploring the existence of polynomial CS-separators for various graph classes, and establishing their equivalence to significant conjectures and problems in graph theory and CSPs.
Contribution
It proves the almost sure existence of polynomial CS-separators for random graphs, extends results to H-free and path-free graphs, and links the problem to the Alon-Saks-Seymour Conjecture and CSP solution covering.
Findings
Polynomial CS-separator exists almost surely for random graphs.
Polynomial CS-separators are found for H-free graphs with H as a split graph.
The existence of polynomial CS-separators is equivalent to the polynomial Alon-Saks-Seymour Conjecture.
Abstract
Yannakakis' Clique versus Independent Set problem (CL-IS) in communication complexity asks for the minimum number of cuts separating cliques from stable sets in a graph, called CS-separator. Yannakakis provides a quasi-polynomial CS-separator, i.e. of size , and addresses the problem of finding a polynomial CS-separator. This question is still open even for perfect graphs. We show that a polynomial CS-separator almost surely exists for random graphs. Besides, if H is a split graph (i.e. has a vertex-partition into a clique and a stable set) then there exists a constant for which we find a CS-separator on the class of H-free graphs. This generalizes a result of Yannakakis on comparability graphs. We also provide a CS-separator on the class of graphs without induced path of length k and its complement. Observe that on one side, is of…
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.
