“Graph generative AI and applications in bio/medical domain”, Michalis Vazirgiannis, Distinguished Professor, École Polytechnique, Paris and Affiliate Professor at MBZUAI in UAE. – Τμήμα Μηχανικών Η/Υ και Πληροφορικής
Την ερχόμενη Παρασκευή 16/5 θα έχουμε τη μεγάλη χαρά να φιλοξενήσουμε ως ομιλητή στα πλαίσια των εκδηλώσεων “Σεμινάριο CEID & Social Hour” και των ΔΠΜΣ ΥΔΑ και ΣΜΗΝ τον δρ. Μιχάλη Βαζιργιάννη, Distinguished Professor, École Polytechnique, Paris, and Affiliate Professor at MBZUAI in UAE.
Title: Graph generative AI and applications in bio/medical domain
Ημερομηνία-χώρος: Παρασκευή 16 Mαΐου, 3:15-5μμ, ΤΜΗΥΠ, αμφιθέατρο Γ
Abstract: Graph generative models are recently gaining significant interest in current application domains. They are commonly used to model social networks, knowledge graphs, molecules and proteins. In this talk we will present the potential of graph generative models and our recent relevant efforts in the biomedical domain. More specifically we present a novel architecture that generates graphs with application to medical records as graphs with privacy guarantees. We capitalize and modify the graph Variational autoencoders (VAEs) architecture. We also present multimodal architectures capitalizing on graphs with applications to protein function prediction- the prot2text model. Finally we present ongoing research directions, like how can graphs be transformed to sequences to achieve optimal generation capitalizing on LLMs.