Next MALOTEC seminar will take place on Thursday, February 28th at 11am in room A008.
Marc Plantevit (Université Claude Bernard Lyon 1 – LIRIS – CNRS UMR 5205) will give a presentation entitled “Pattern Mining in Augmented Graphs”.
Université Claude Bernard Lyon 1
Data Mining and Machine Learning (DM2L)
LIRIS – CNRS UMR 5205
Title: Pattern Mining in Augmented Graphs
Abstract: Graphs are a powerful mathematical abstraction that enables to depict many real world phenomena. Vertices describe entities and edges identify relations between entities. Such graphs are often augmented with additional pieces of information. For instance, the vertices or the edges are enriched with attributes describing them and are called vertex (respectively edge) attributed graphs. Graphs can also be dynamic, i.e., the structure and the values of vertex attributes may evolve through time. The discovery of patterns in such graphs may provide actionable insights and boost the user knowledge. In this talk, I will discuss the different pattern domains for augmented graphs I contributed to define. This includes the discovery of exceptional attributed subgraphs in edge or vertex attributed graphs. Then, I will discuss how to find patterns of higher interest by taking into account the domain knowledge, user feedback and user’s prior knowledge through different examples.
For more information: https://perso.liris.cnrs.fr/mplantev/doku/