On the Parameterized Approximability of Contraction to Classes of Chordal Graphs
Spoorthy Gunda, Pallavi Jain, Daniel Lokshtanov, Saket Saurabh and, Prafullkumar Tale

TL;DR
This paper investigates the parameterized approximability of contracting edges in graphs to achieve certain classes of chordal graphs, providing new kernelization schemes and hardness results for various contraction problems.
Contribution
It introduces polynomial kernelization schemes for Clique and Split Contraction problems and establishes hardness results for Chordal Contraction under standard complexity assumptions.
Findings
Polynomial-size approximate kernelization scheme for Clique Contraction
A (2+ε)-approximate polynomial kernel for Split Contraction
Hardness results for Chordal Contraction assuming FPT ≠ W[1]
Abstract
A graph operation that {\em contracts edges} is one of the fundamental operations in the theory of graph minors. Parameterized Complexity of editing to a family of graphs by contracting edges has recently gained substantial scientific attention, and several new results have been obtained. Some important families of graphs, namely the subfamilies of chordal graphs, in the context of edge contractions, have proven to be significantly difficult than one might expect. In this paper, we study the \textsc{-Contraction} problem, where is a subfamily of chordal graphs, in the realm of parameterized approximation. Formally, given a graph and an integer , \textsc{ -Contraction} asks whether there exists such that and . Here, is the graph obtained from by contracting edges in . We obtain the following…
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