FPT algorithms for embedding into low complexity graphic metrics
Arijit Ghosh, Sudeshna Kolay, and Gopinath Mishra

TL;DR
This paper investigates fixed-parameter tractable algorithms for embedding graph metrics into simpler graph structures with low complexity, focusing on parameters like distortion, degree, and treewidth.
Contribution
It introduces FPT algorithms for embedding unweighted graph metrics into low complexity graph metrics such as cycles and bounded treewidth graphs.
Findings
Embedding into cycles is fixed-parameter tractable.
Embedding into graphs with bounded treewidth is fixed-parameter tractable.
The approach analyzes shortest paths under low distortion embeddings.
Abstract
The Metric Embedding problem takes as input two metric spaces and , and a positive integer . The objective is to determine whether there is an embedding such that , where denotes the distortion of the map . Such an embedding is called a distortion embedding. The bijective Metric Embedding problem is a special case of the Metric Embedding problem where . In parameterized complexity, the Metric Embedding problem, in full generality, is known to be W-hard and therefore, not expected to have an FPT algorithm. In this paper, we consider the Gen-Graph Metric Embedding problem, where the two metric spaces are graph metrics. We explore the extent of tractability of the problem in the parameterized complexity setting. We determine whether an unweighted graph metric can be embedded, or bijectively…
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