Bulteau, L., Dabrowski, K.K., Köhler, N. orcid.org/0000-0002-1023-6530 et al. (2 more authors) (Cover date: June 2024) An Algorithmic Framework for Locally Constrained Homomorphisms. SIAM Journal on Discrete Mathematics, 38 (2). pp. 1315-1350. ISSN 0895-4801
Abstract
A homomorphism φ from a guest graph G to a host graph H is locally bijective, injective or surjective if for every u ∈ V (G), the restriction of φ to the neighbourhood of u is bijective, injective or surjective, respectively. The corresponding decision problems, LBHom, LIHom and LSHom, are well studied both on general graphs and on special graph classes. We prove a number of new FPT, W[1]-hard and para-NP-complete results by considering a hierarchy of parameters of the guest graph G. For our FPT results, we do this through the development of a new algorithmic framework that involves a general ILP model. To illustrate the applicability of the new framework, we also use it to prove FPT results for the Role Assignment problem, which originates from social network theory and is closely related to locally surjective homomorphisms.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author produced version of an article accepted for publication in SIAM Journal on Discrete Mathematics, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | (locally constrained) graph homomorphism, parameterized complexity, fracture number |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Jan 2024 14:05 |
Last Modified: | 19 Apr 2024 11:29 |
Status: | Published |
Publisher: | Society for Industrial and Applied Mathematics |
Identification Number: | 10.1137/22M1513290 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:207046 |