+********************************************************************** * * * Einladung * * * * Informatik-Oberseminar * * * +**********************************************************************

Zeit: Donnerstag, 23. September 2021, 14.00 Uhr

Ort: Zoom-Videokonferenz und Raum 9222 Für die Teilnahme vor Ort wird um Anmeldung gebeten

Link: https://rwth.zoom.us/j/95250295111?pwd=cjhFMGk0bStZcGNvcmYrYURPWnQ0dz09

Referent: Martin Ritzert M.Sc. Lehrstuhl für Informatik 7

Thema: Learning on Graphs with Logic and Neural Networks

Abstract:

In the domain of graphs we show strong connections between logic and machine learning in both theory and practice. In a purely theoretical framework we develop sublinear machine learning algorithms for supervised learning of logical formulas on various graph classes. Further we show that learning first-order logic on arbitrary graphs is intractable unless P=NP. At the intersection of theory and practice, we prove an equivalence between graph neural networks and the 1-dimensional Weisfeiler-Leman algorithm. As a practical application, we approximate combinatorial problems with recurrent graph neural networks. The proposed architecture is unsupervised and can be applied to all maximum constraint satisfaction problems.

Es laden ein: die Dozentinnen und Dozenten der Informatik