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| Titolo | Corso di studi | Anno di discussione | Relatore |
|---|---|---|---|
| Explainability in Deep Graph Networks: Inductive Bias Analysis and New Benchmarks | DOTTORATO NAZIONALE IN INTELLIGENZA ARTIFICIALE | 2026 | |
| Illuminating Customer Insights: Deep Learning for Business Intelligence | DATA SCIENCE AND BUSINESS INFORMATICS | 2025 | |
| Implicit Chemical Property Optimization with Graph Energy Based Models | INFORMATICA | 2024 | |
| Graph Learning for Network Quantification | INFORMATICA | 2024 | |
| Classifier-Free Diffusion process for conditional graph generation | INFORMATICA | 2023 | |
| Predicting Dynamical Properties of Pathways from Protein Interaction Networks using Graph Neural Networks | INFORMATICA | 2023 | |
| Graphs Generation with Recurrent Neural Networks | INFORMATICA | 2020 |
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