AADAGE

Last updated on Jun 8, 2023
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AADAGE(Automorphism Aware Directed Attributed Graph Explorer)
Release date2014
ImplementationC++
AuthorPasquier C.

AADAGE (Automorphism Aware Directed Attributed Graph Explorer)1 2 is an C++ implementation of a new data mining method that can extract frequent patterns from one or more directed attributed graphs.

  1. Claude Pasquier, Frédéric Flouvat, Jérémy Sanhes, Nazha Selmaoui-folcher (2014). Extraction de motifs dans des graphes orientés attribués en présence d’automorphisme. 14ème Conférence Francophone sur l’Extraction et la Gestion des Connaissances (EGC'14), Revue des Nouvelles Technologies de l’Information, volume E-26.

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  2. Claude Pasquier, Frédéric Flouvat, Jérémy Sanhes, Nazha Selmaoui-folcher (2017). Attributed Graph Mining in the Presence of Automorphism. Knowledge and Information Systems.

    PDF DOI Article Link Journal Site

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Attributed Graph Mining Graph Mining
Claude Pasquier
Claude Pasquier
Researcher in Computer Science / Computational Biology

Université côte d’Azur, CNRS, I3S Laboratory, Sophia Antipolis