An Experimental Study of the Treewidth of Real-World Graph Data - Laboratoire Interdisciplinaire des Sciences du Numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

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

Résumé

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.
Fichier principal
Vignette du fichier
LIPIcs-ICDT-2019-12.pdf (757.45 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02087763 , version 1 (02-04-2019)

Identifiants

Citer

Silviu Maniu, Pierre Senellart, Suraj Jog. An Experimental Study of the Treewidth of Real-World Graph Data. ICDT 2019 – 22nd International Conference on Database Theory, Mar 2019, Lisbon, Portugal. pp.18, ⟨10.4230/LIPIcs.ICDT.2019.12⟩. ⟨hal-02087763⟩
148 Consultations
60 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More