Lower Bounds on Flow Sparsifiers with Steiner Nodes
Yu Chen, Zihan Tan, Mingyang Yang

TL;DR
This paper establishes lower bounds on the quality of flow sparsifiers with Steiner nodes, showing that allowing many Steiner nodes does not significantly improve the quality of contraction-based sparsifiers.
Contribution
It proves that even with a large number of Steiner nodes, the quality of flow sparsifiers cannot be substantially improved, providing fundamental lower bounds.
Findings
Flow sparsifiers with Steiner nodes still have poor quality bounds.
Contraction-based methods cannot significantly improve flow preservation.
Lower bounds hold even with exponentially many Steiner nodes.
Abstract
Given a large graph with a set of its vertices called terminals, a \emph{quality- flow sparsifier} is a small graph that contains the terminals and preserves all multicommodity flows between them up to some multiplicative factor , called the \emph{quality}. Constructing flow sparsifiers with good quality and small size () has been a central problem in graph compression. The most common approach of constructing flow sparsifiers is contraction: first compute a partition of the vertices in , and then contract each part into a supernode to obtain . When is only allowed to contain all terminals, the best quality is shown to be and . In this paper, we show that allowing a few Steiner nodes does not help much in improving the quality. Specifically, there exist -terminal graphs such that,…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · VLSI and FPGA Design Techniques
