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Graph Reconstruction and Verification

Authors :
Sampath Kannan
Claire Mathieu
Hang Zhou
Department of Computer Science (Brown University)
Brown University
École polytechnique (X)
Source :
ACM Transactions on Algorithms, ACM Transactions on Algorithms, Association for Computing Machinery, 2018, 14 (4), pp.1-30. ⟨10.1145/3199606⟩
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

How efficiently can we find an unknown graph using distance or shortest path queries between its vertices? We assume that the unknown graph G is connected, unweighted, and has bounded degree. In the reconstruction problem, the goal is to find the graph G . In the verification problem, we are given a hypothetical graph Ĝ and want to check whether G is equal to Ĝ . We provide a randomized algorithm for reconstruction using Õ( n 3/2 ) distance queries, based on Voronoi cell decomposition. Next, we analyze natural greedy algorithms for reconstruction using a shortest path oracle and also for verification using either oracle, and show that their query complexity is n 1+ o (1) . We further improve the query complexity when the graph is chordal or outerplanar. Finally, we show some lower bounds, and consider an approximate version of the reconstruction problem.

Details

Language :
English
ISSN :
15496325
Database :
OpenAIRE
Journal :
ACM Transactions on Algorithms, ACM Transactions on Algorithms, Association for Computing Machinery, 2018, 14 (4), pp.1-30. ⟨10.1145/3199606⟩
Accession number :
edsair.doi.dedup.....6b40bc3346d294949ea51e0fcf2fe657
Full Text :
https://doi.org/10.1145/3199606⟩