Fast Shortest Path in Graphs With Sparse Signed Tree Models and Applications
\'Edouard Bonnet, Colin Geniet, Eun Jung Kim, and Sungmin Moon

TL;DR
This paper introduces a novel algorithm for shortest paths in graphs with sparse signed tree models, enabling faster computations and broader applications in graph algorithms and matrix multiplication, especially for graphs with low merge-width or twin-width.
Contribution
The paper presents a new shortest-path algorithm for graphs with signed tree models, improving runtime and extending applications to various graph classes and matrix operations.
Findings
Shortest-path computation in $O(p \, log n)$ time for graphs with signed tree models.
Improved fixed-parameter algorithm for first-order model checking from cubic to quadratic time.
New $O(n^2 \, log n)$ algorithm for All-Pairs Shortest Path on graphs with low merge-width.
Abstract
A signed tree model of a graph is a compact binary structure consisting of a rooted binary tree whose leaves are bijectively mapped to the vertices of , together with 2-colored edges , called transversal pairs, interpreted as bicliques or anti-bicliques whose sides are the leaves of the subtrees rooted at and at . We design an algorithm that, given such a representation of an -vertex graph with transversal pairs and a source , computes a shortest-path tree rooted at in in time . A wide variety of graph classes are such that for all , their -vertex graphs admit signed tree models with transversal pairs: for instance, those of bounded symmetric difference, more generally of bounded sd-degeneracy, as well as interval graphs. As applications of our Single-Source Shortest Path algorithm and new techniques, we -…
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
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Machine Learning and Algorithms
