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VC Set Systems in Minor-free (Di)Graphs and Applications

Hung Le, Christian Wulff-Nilsen

2024Year
2Top-tier citations

Abstract

A recent line of work on VC set systems in minor-free (undirected) graphs, starting from Li and Parter [LP19], who constructed a new VC set system for planar graphs, has given surprising algorithmic results [LP19, Le23, DHV20, FHMWN20]. In this work, we initialize a more systematic study of VC set systems for minor-free graphs and their applications in both undirected graphs and directed graphs (a.k.a digraphs). More precisely:

  1. We propose a new variant of the Li-Parter set system for undirected graphs. Our set system settles two weaknesses of the Li-Parter set system: the terminals can be anywhere, and the graph can be K h -minor-free for any fixed h. We obtain several algorithmic applications, notably: (i) the first exact distance oracle for unweighted and undirected K h -minor-free graphs that has truly subquadratic space and constant query time, and (ii) the first truly subquadratic time algorithm for computing Wiener index of K h -minor-free graphs, resolving an open problem posed by Ducoffe, Habib, and Viennot [DHV20].

  2. We extend our set system to K h -minor-free digraphs and show that its VC dimension is O(h 2 ). We use this result to design the first subquadratic time algorithm for computing (unweighted) diameter and all-vertices eccentricities in K h -minor-free digraphs.

  3. We show that the system of directed balls in minor-free digraphs has VC dimension at most h -1. We then present a new technique to exploit the VC system of balls, giving the first exact distance oracle for unweighted minor-free digraphs that has truly subquadratic space and logarithmic query time.

  4. On the negative side, we show that VC set system constructed from shortest path trees of planar digraphs does not have a bounded VC dimension. This leaves an intriguing open problem: determine a necessary and sufficient condition for a set system derived from a minor-free graph to have a bounded VC dimension.

The highlight of our work is the results for digraphs, as we are not aware of known algorithmic work on constructing and exploiting VC set systems for digraphs.

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