Algorithms for low-distortion embeddings into arbitrary 1-dimensional spaces
Timothy Carpenter, Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh,, Anastasios Sidiropoulos

TL;DR
This paper develops approximation and fixed-parameter tractable algorithms for embedding shortest path metrics of graphs into 1-dimensional spaces, such as lines or subdivisions of fixed graphs, with minimal distortion.
Contribution
It introduces new algorithms for embedding graphs into fixed 1-dimensional complexes, extending beyond paths and trees, with provable approximation guarantees and exact solutions.
Findings
Provides an approximation algorithm with time complexity depending on $H$ and polynomial in $n$.
Offers an exact algorithm with fixed-parameter tractability based on $H$ and $c$.
Extends embedding algorithms to more general 1-dimensional complexes beyond paths and trees.
Abstract
We study the problem of finding a minimum-distortion embedding of the shortest path metric of an unweighted graph into a "simpler" metric . Computing such an embedding (exactly or approximately) is a non-trivial task even when is the metric induced by a path, or, equivalently, into the real line. In this paper we give approximation and fixed-parameter tractable (FPT) algorithms for minimum-distortion embeddings into the metric of a subdivision of some fixed graph , or, equivalently, into any fixed 1-dimensional simplicial complex. More precisely, we study the following problem: For given graphs , and integer , is it possible to embed with distortion into a graph homeomorphic to ? Then embedding into the line is the special case , and embedding into the cycle is the case , where denotes the complete graph on vertices. For this…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
