A Finer View of the Parameterized Landscape of Labeled Graph Contractions

A Finer View of the Parameterized Landscape of Labeled Graph Contractions
Notice: This research summary and analysis were automatically generated using AI technology. For absolute accuracy, please refer to the [Original Paper Viewer] below or the Original ArXiv Source.

We study the \textsc{Labeled Contractibility} problem, where the input consists of two vertex-labeled graphs $G$ and $H$, and the goal is to determine whether $H$ can be obtained from $G$ via a sequence of edge contractions. Lafond and Marchand~[WADS 2025] initiated the parameterized complexity study of this problem, showing it to be (\W[1])-hard when parameterized by the number (k) of allowed contractions. They also proved that the problem is fixed-parameter tractable when parameterized by the tree-width (\tw) of (G), via an application of Courcelle’s theorem resulting in a non-constructive algorithm. In this work, we present a constructive fixed-parameter algorithm for \textsc{Labeled Contractibility} with running time (2^{\mathcal{O}(\tw^2)} \cdot |V(G)|^{\mathcal{O}(1)}). We also prove that unless the Exponential Time Hypothesis (Ð) fails, it does not admit an algorithm running in time (2^{o(\tw^2)} \cdot |V(G)|^{\mathcal{O}(1)}). This result adds \textsc{Labeled Contractibility} to a small list of problems that admit such a lower bound and matching algorithm. We further strengthen existing hardness results by showing that the problem remains \NP-complete even when both input graphs have bounded maximum degree. We also investigate parameterizations by ((k + δ(G))) where (δ(G)) denotes the degeneracy of (G), and rule out the existence of subexponential-time algorithms. This answers question raised in Lafond and Marchand~[WADS 2025]. We additionally provide an improved \FPT\ algorithm with better dependence on ((k + δ(G))) than previously known. Finally, we analyze a brute-force algorithm for \textsc{Labeled Contractibility} with running time (|V(H)|^{\mathcal{O}(|V(G)|)}), and show that this running time is optimal under Ð.


💡 Research Summary

The paper investigates the computational complexity of the Labeled Contractibility problem, where two vertex‑labelled graphs G and H are given and the task is to decide whether H can be obtained from G by a sequence of edge contractions that respect the vertex labels. The authors build on the recent work of Lafond and Marchand (WADS 2025), who showed that the problem is W


Comments & Academic Discussion

Loading comments...

Leave a Comment