Small Maximal Independent Sets and Faster Exact Graph Coloring
David Eppstein

TL;DR
This paper introduces tight bounds on the number of small maximal independent sets in graphs and leverages these bounds to develop a faster exact algorithm for computing the graph's chromatic number, improving previous methods.
Contribution
The paper provides tight bounds on small maximal independent sets and uses them to significantly improve the time complexity of exact graph coloring algorithms.
Findings
Bound on the number of small maximal independent sets in graphs.
An improved algorithm for exact graph coloring with complexity ~2.4150^n.
Bounds are tight for certain parameter ranges.
Abstract
We show that, for any n-vertex graph G and integer parameter k, there are at most 3^{4k-n}4^{n-3k} maximal independent sets I \subset G with |I| <= k, and that all such sets can be listed in time O(3^{4k-n} 4^{n-3k}). These bounds are tight when n/4 <= k <= n/3. As a consequence, we show how to compute the exact chromatic number of a graph in time O((4/3 + 3^{4/3}/4)^n) ~= 2.4150^n, improving a previous O((1+3^{1/3})^n) ~= 2.4422^n algorithm of Lawler (1976).
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph Labeling and Dimension Problems · Advanced Graph Theory Research
