Separator-Based Graph Embedding into Multidimensional Grids with Small Edge-Congestion
Akira Matsubayashi

TL;DR
This paper presents a method for embedding graphs into multidimensional grids with minimal edge-congestion, leveraging graph separators to optimize the process based on the graph's properties.
Contribution
It introduces a new embedding technique that uses edge-separators with bounded expansion, achieving near-optimal edge-congestion for graphs with small separators.
Findings
Embedding with constant edge-congestion for graphs with small separators in higher dimensions.
Achieves $O( ext{degree})$ edge-congestion for graphs with fixed treewidth or excluded minors.
Provides an algorithm to construct edge-separators with bounded expansion.
Abstract
We study the problem of embedding a guest graph with minimum edge-congestion into a multidimensional grid with the same size as that of the guest graph. Based on a well-known notion of graph separators, we show that an embedding with a smaller edge-congestion can be obtained if the guest graph has a smaller separator, and if the host grid has a higher but constant dimension. Specifically, we prove that any graph with nodes, maximum node degree , and with a node-separator of size () can be embedded into a grid of a fixed dimension with at least nodes, with an edge-congestion of if , if , and if . This edge-congestion achieves constant ratio approximation if , and matches an existential lower bound within…
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Taxonomy
TopicsInterconnection Networks and Systems · Advanced Graph Theory Research · Advanced Data Storage Technologies
