License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICDT.2019.12
URN: urn:nbn:de:0030-drops-103147
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10314/
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Maniu, Silviu ; Senellart, Pierre ; Jog, Suraj

An Experimental Study of the Treewidth of Real-World Graph Data

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LIPIcs-ICDT-2019-12.pdf (0.7 MB)

Abstract

Treewidth is a parameter that measures how tree-like a relational instance is, and whether it can reasonably be decomposed into a tree. Many computation tasks are known to be tractable on databases of small treewidth, but computing the treewidth of a given instance is intractable. This article is the first large-scale experimental study of treewidth and tree decompositions of real-world database instances (25 datasets from 8 different domains, with sizes ranging from a few thousand to a few million vertices). The goal is to determine which data, if any, can benefit of the wealth of algorithms for databases of small treewidth. For each dataset, we obtain upper and lower bound estimations of their treewidth, and study the properties of their tree decompositions. We show in particular that, even when treewidth is high, using partial tree decompositions can result in data structures that can assist algorithms.

BibTeX - Entry

@InProceedings{maniu_et_al:LIPIcs:2019:10314,
  author =	{Silviu Maniu and Pierre Senellart and Suraj Jog},
  title =	{{An Experimental Study of the Treewidth of Real-World Graph Data}},
  booktitle =	{22nd International Conference on Database Theory (ICDT 2019)},
  pages =	{12:1--12:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-101-6},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{127},
  editor =	{Pablo Barcelo and Marco Calautti},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10314},
  doi =		{10.4230/LIPIcs.ICDT.2019.12},
  annote =	{Keywords: Treewidth, Graph decompositions, Experiments, Query processing}
}

Keywords: Treewidth, Graph decompositions, Experiments, Query processing
Collection: 22nd International Conference on Database Theory (ICDT 2019)
Issue Date: 2019
Date of publication: 19.03.2019

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