On the hardness of optimal vertex relabeling and restricted vertex relabeling

  • Amihood Amir
  • , Benny Porat

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Vertex Relabeling is a variant of the graph relabeling problem. In this problem, the input is a graph and two vertex labelings, and the question is to determine how close are the labelings. The distance measure is the minimum number of label swaps necessary to transform the graph from one labeling to the other, where a swap is the interchange of the labels of two adjacent nodes. We are interested in the complexity of determining the swap distance. The problem has been recently explored for various restricted classes of graphs, but its complexity in general graphs has not been established. We show that the problem is NP-hard. In addition we consider restricted versions of the problem where a node can only participate in a bounded number of swaps. We show that the problem is NP-hard under these restrictions as well.

Original languageEnglish
Title of host publicationCombinatorial Pattern Matching - 26th Annual Symposium, CPM 2015, Proceedings
EditorsUgo Vaccaro, Ely Porat, Ferdinando Cicalese
PublisherSpringer Verlag
Pages1-12
Number of pages12
ISBN (Print)9783319199283
DOIs
StatePublished - 2015
Event26th Annual Symposium on Combinatorial Pattern Matching, CPM 2015 - Ischia Island, Italy
Duration: 29 Jun 20151 Jul 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9133
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th Annual Symposium on Combinatorial Pattern Matching, CPM 2015
Country/TerritoryItaly
CityIschia Island
Period29/06/151/07/15

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2015.

Funding

B. Porat—Partly supported by a Bar Ilan University President Fellowship. This work is part of Benny Porat’s Ph.D. thesis. A. Amir—Partly supported by ISF grant 571/14.

FundersFunder number
Israel Science Foundation
Bar-Ilan University
Israel Science Foundation571/14

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