עופר נימן

אקדמי בכיר

Metric embedding via shortest path decompositions

Ittai Abraham, Anupam Gupta, Arnold Filtser, Ofer Neiman

We study the problem of embedding weighted graphs of pathwidth k into ℓp spaces. Our main result is an O(kmin {1/p, 1/2 })-distortion embedding. For p = 1, this is a super-exponential improvement over the best previous bound of Lee and Sidiropoulos. Our distortion bound is asymptotically tight for any fixed p > 1. Our result is obtained via a novel embedding technique that is based on low depth decompositions of a graph via shortest paths. The core new idea is that given a geodesic shortest path P, we can probabilistically embed all points into 2 dimensions with respect to P. For p > 2 our embedding also implies improved distortion on bounded treewidth graphs (O((k log n)1/p)). For asymptotically large p, our results also implies improved distortion on graphs excluding a minor.

שפת פרסום אנגלית
דפים 912-919
סטטוס פרסום פורסם - 20.06.2018

Keywords

Metric embeddings
Normed spaces
Pathwidth
Shortest path decomposition
Treewidth

ASJC Scopus subject areas

Software
גישה למסמך
10.1145/3188745.3188808
קבצים וקישורים אחרים
Link to publication in Scopus