Recently, Graph Neural Networks have been very successful in solving machine learning tasks such as classification and prediction at the level of nodes, edges and graphs. Their temporal version handles data that evolve over time, such as pandemics and traffic, social networks, financial time series, and brain activity time series. In this talk, I will present how we have implemented some Temporal Graph Neural Networks and their applications.
Cette session est accessible à tous et aura lieu sur la plateforme BBB de Mathrice.
Merci de bien vouloir vous inscrire pour suivre cette session. Cette session sera enregistrée. S'inscrire implique d'accepter ce principe.
Alessandra Iacobucci et Pierre Navaro
