Finding a Maximum Common (Induced) Subgraph: Structural Parameters Revisited

Fuente: arXiv
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Autori principali: Hanaka, Tesshu, Okada, Yuto, Otachi, Yota, Volk, Lena
Natura: Preprint
Pubblicazione: 2025
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author Hanaka, Tesshu
Okada, Yuto
Otachi, Yota
Volk, Lena
author_facet Hanaka, Tesshu
Okada, Yuto
Otachi, Yota
Volk, Lena
contents We study the parameterized complexity of the problems of finding a maximum common (induced) subgraph of two given graphs. Since these problems generalize several NP-complete problems, they are intractable even when parameterized by strongly restricted structural parameters. Our contribution in this paper is to sharply complement the hardness of the problems by showing fixed-parameter tractable cases: both induced and non-induced problems parameterized by max-leaf number and by neighborhood diversity, and the induced problem parameterized by twin cover number. These results almost completely determine the complexity of the problems with respect to well-studied structural parameters. Also, the result on the twin cover number presents a rather rare example where the induced and non-induced cases have different complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2512_06383
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Finding a Maximum Common (Induced) Subgraph: Structural Parameters Revisited
Hanaka, Tesshu
Okada, Yuto
Otachi, Yota
Volk, Lena
Data Structures and Algorithms
We study the parameterized complexity of the problems of finding a maximum common (induced) subgraph of two given graphs. Since these problems generalize several NP-complete problems, they are intractable even when parameterized by strongly restricted structural parameters. Our contribution in this paper is to sharply complement the hardness of the problems by showing fixed-parameter tractable cases: both induced and non-induced problems parameterized by max-leaf number and by neighborhood diversity, and the induced problem parameterized by twin cover number. These results almost completely determine the complexity of the problems with respect to well-studied structural parameters. Also, the result on the twin cover number presents a rather rare example where the induced and non-induced cases have different complexity.
title Finding a Maximum Common (Induced) Subgraph: Structural Parameters Revisited
topic Data Structures and Algorithms
url https://arxiv.org/abs/2512.06383