Metric Embedding via Shortest Path Decompositions
Ittai Abraham, Arnold Filtser, Anupam Gupta, Ofer Neiman

TL;DR
This paper introduces a new graph embedding technique based on shortest path decompositions, achieving tight distortion bounds for embedding graphs with bounded SPD depth into spaces, improving previous results especially for pathwidth and planar graphs.
Contribution
The paper presents a novel embedding method using shortest path decompositions, providing tight distortion bounds for graphs with bounded SPD depth and applications to pathwidth, planar graphs, and minor-excluding graphs.
Findings
Embedding distortion for graphs with SPD depth k is O(k^{min{1/p,1/2}}).
Graphs with pathwidth k embed into with distortion O(k^{min{1/p,1/2}}).
Planar graphs embed into with distortion O(( )).
Abstract
We study the problem of embedding shortest-path metrics of weighted graphs into spaces. We introduce a new embedding technique based on low-depth decompositions of a graph via shortest paths. The notion of Shortest Path Decomposition depth is inductively defined: A (weighed) path graph has shortest path decomposition (SPD) depth . General graph has an SPD of depth if it contains a shortest path whose deletion leads to a graph, each of whose components has SPD depth at most . In this paper we give an -distortion embedding for graphs of SPD depth at most . This result is asymptotically tight for any fixed , while for it is tight up to second order terms. As a corollary of this result, we show that graphs having pathwidth embed into with distortion . For ,…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced Graph Theory Research · Complexity and Algorithms in Graphs
