AADAGE

AADAGE (Automorphism Aware Directed Attributed Graph Explorer)
Release date 2014
Implementation C++
Author Pasquier C.

AADAGE (Automorphism Aware Directed Attributed Graph Explorer) (Pasquier et al. 2014, 2017) is an C++ implementation of a new data mining method that can extract frequent patterns from one or more directed attributed graphs.

Pasquier, C., Flouvat, F., Sanhes, J., and Selmaoui-folcher, N. (2014), “Extraction de motifs dans des graphes orientés attribués en présence d’automorphisme,” in 14ème conférence francophone sur l’Extraction et la gestion des connaissances (egc’14), revue des nouvelles technologies de l’Information, volume e-26, Rennes: RNTI, pp. 371–382.

Pasquier, C., Flouvat, F., Sanhes, J., and Selmaoui-Folcher, N. (2017), “Attributed graph mining in the presence of automorphism,” Knowledge and Information Systems, Springer London, 50, 569–584. https://doi.org/10.1007/s10115-016-0953-9.

Avatar
Claude Pasquier
Researcher in Computer Science / Computational Biology

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

Related