Visual Querying of Large Multilayer Graphs

Erick Cuenca 1 Arnaud Sallaberry 1 Dino Ienco 1 Pascal Poncelet 1
1 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Many real world data can be represented by a network with a set of nodes linked each other by multiple relations. Such a rich graph is called multilayer graph. In this demo, we present a tool for Visual Querying of Large Multilayer Graphs that allows to visually draw the query, retrieve result patterns and finally navigate and browse the results considering the original multilayer graph database. Our approach does not only provide a graphical user interface for the graph engine but the query processing is fully integrated.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01847422
Contributor : Erick Cuenca <>
Submitted on : Saturday, November 3, 2018 - 10:55:40 PM
Last modification on : Saturday, November 3, 2018 - 11:10:30 PM
Long-term archiving on : Monday, February 4, 2019 - 12:56:53 PM

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Erick Cuenca, Arnaud Sallaberry, Dino Ienco, Pascal Poncelet. Visual Querying of Large Multilayer Graphs. SSDBM: Scientific and Statistical Database Management, Jul 2018, Bozen-Bolzano, Italy. pp.32-34, ⟨10.1145/3221269.3223027⟩. ⟨lirmm-01847422⟩

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