Perfect Resolution of Strong Conflict-Free Colouring of Interval Hypergraphs
S.M. Dhannya, N.S. Narayanaswamy

TL;DR
This paper presents an exact polynomial-time algorithm for the $k$-Strong Conflict-Free coloring problem in interval hypergraphs, solving an open problem by leveraging properties of perfect graphs and introducing new graph concepts.
Contribution
It introduces a novel polynomial-time algorithm for $k$-SCF coloring of interval hypergraphs, utilizing the perfect graph structure of associated co-occurrence and conflict graphs.
Findings
The $k$-SCF coloring problem is solvable in polynomial time for interval hypergraphs.
Co-occurrence and conflict graphs are shown to be perfect graphs in this context.
The $1$-SCF coloring number corresponds to minimal interval partitions with exact hitting sets.
Abstract
The -Strong Conflict-Free (-SCF, in short) colouring problem seeks to find a colouring of the vertices of a hypergraph using minimum number of colours so that in every hyperedge of , there are at least vertices whose colour is different from that of all other vertices in . In the case of interval hypergraphs, we present an exact -time algorithm for the -SCF problem thus solving an open problem posed by Cheilaris et al. (2014). We achieve our results by showing that for any hypergraph a -SCF colouring is a proper colouring of a related simple graph which we refer to as a co-occurrence graph. We then show that a co-occurrence graph is obtained by identifying an induced subgraph of a second simple graph that we introduce, which we refer to as the conflict graph. For interval hypergraphs, we show that each co-occurrence graph and the conflict…
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 · Complexity and Algorithms in Graphs · Computational Geometry and Mesh Generation
