Inapproximability of Additive Weak Contraction under SSEH and Strong UGC
Siddhartha Jain

TL;DR
This paper proves that approximating the Maximum Additive Weak Contraction problem within a factor of n^{1-ε} is computationally infeasible under SSEH and SUGC, filling a gap in prior inapproximability results.
Contribution
It establishes the inapproximability of the Maximum Additive Weak Contraction problem under SSEH and SUGC, extending the understanding of graph contraction complexities.
Findings
Maximum Additive Weak Contraction is inapproximable within n^{1-ε} factor.
Results rely on inapproximability of the Maximum Edge Biclique problem.
Hardness holds under both SSEH and SUGC assumptions.
Abstract
Succinct representations of a graph have been objects of central study in computer science for decades. In this paper, we study the operation called \emph{Distance Preserving Graph Contractions}, which was introduced by Bernstein et al. (ITCS, 2018). This operation gives a minor as a succinct representation of a graph that preserves all the distances of the original (up to some factor). The graph minor given from contractions can be seen as a dual of spanners as the distances can only shrink (while distances are stretched in the case of spanners). Bernstein et al. proved inapproximability results for the problems of finding maximum subset of edges that yields distance preserving graph contractions for almost major classes of graphs except for that of Additive Weak Contraction. The main result in this paper is filling the gap in the paper of Bernstein et al. We show that the Maximum…
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.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Optimization and Search Problems
