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SUMMARY:[DeepLorIA] Graph Neural Networks – A Hands-On Guide to Graph Data Processing
DESCRIPTION:DeepLorIA est un réseau interne pour partager des connaissances en intelligence artificielle\, quel que soit le domaine d’application. Il est ouvert à toutes les équipes du Loria qui utilisent l’IA dans leurs travaux. \nLe prochain tutoriel DeepLorIA aura lieu le 14 mai\, de 14h à 16h\, en salle A008. Il est proposé par Victor Pryakhin (Capsid). \nGraph Neural Networks – A Hands-On Guide to Graph Data Processing\nThis session introduces Graph Neural Networks (GNNs) and their innovative approach to understanding complex graphs. Dive into the core concepts—from graph representations and message passing to pooling and cutting-edge attention mechanisms. Using PyTorch Geometric\, you’ll gain practical experience building\, training\, and optimizing GNN models on real-world datasets spanning molecular structures\, social networks\, and beyond. \nInscrivez-vous ! \nPlus d’informations auprès de Franco Terranova\, doctorant dans l’équipe Resist.
URL:https://www.loria.fr/event/deeploria-graph-neural-networks/
LOCATION:A008
CATEGORIES:Séminaire
ATTACH;FMTTYPE=image/png:https://www.loria.fr/wp-content/uploads/DeepLorIA_logo1.png
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