Quasi-Linear Distance Query Reconstruction for Graphs of Bounded Treelength

Paul Bastide*, Carla Groenland*

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

In distance query reconstruction, we wish to reconstruct the edge set of a hidden graph by asking as few distance queries as possible to an oracle. Given two vertices u and v, the oracle returns the shortest path distance between u and v in the graph. The length of a tree decomposition is the maximum distance between two vertices contained in the same bag. The treelength of a graph is defined as the minimum length of a tree decomposition of this graph. We present an algorithm to reconstruct an n-vertex connected graph G parameterized by maximum degree ∆ and treelength k in Ok(nlog2 n) queries (in expectation). This is the first algorithm to achieve quasi-linear complexity for this class of graphs. The proof goes through a new lemma that could give independent insight on graphs of bounded treelength.

Original languageEnglish
Title of host publication19th International Symposium on Parameterized and Exact Computation, IPEC 2024
EditorsEdouard Bonnet, Pawel Rzazewski
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Number of pages11
ISBN (Electronic)9783959773539
DOIs
Publication statusPublished - 2024
Event19th International Symposium on Parameterized and Exact Computation, IPEC 2024 - London, United Kingdom
Duration: 4 Sept 20246 Sept 2024

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume321
ISSN (Print)1868-8969

Conference

Conference19th International Symposium on Parameterized and Exact Computation, IPEC 2024
Country/TerritoryUnited Kingdom
CityLondon
Period4/09/246/09/24

Keywords

  • Distance Reconstruction
  • Randomized Algorithm
  • Treelength

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