PASA, LUCA
PASA, LUCA
Dipartimento di Matematica "Tullio Levi-Civita" - DM
A Temporal Graph Learning Framework for Lead-Lag Detection in Financial Markets
2026 Krstev, I.; Rigoni, D.; Mishkovski, I.; Pasa, L.
Enriching Graph Topology Representations with Line Graph Transformations
2026 Frazetto, P.; Pasa, L.; Navarin, N.; Sperduti, A.
Guiding Diffusion with Logical Constraints: Molecular Graph Generation Under Lipinski’s Rules
2026 Meneghini, Emma; Frazzetto, Paolo; Pasa, Luca; Navarin, Nicolò
Informed machine learning for complex data
2026 Oneto, L.; Navarin, N.; Micheli, A.; Pasa, L.; Gallicchio, C.; Bacciu, D.; Anguita, D.
Local Learning with Boosting-based Backpropagation-Free Graph Neural Networks
2026 Pasa, Luca; Frazzetto, Paolo; Navarin, Nicolo; Sperduti, Alessandro
Model Selection Hijacking Adversarial Attack
2026 Pajola, Luca; Petrucci, Riccardo; Marchiori, Francesco; Pasa, Luca; Conti, Mauro
Neuro Symbolic AI and Complex Data
2026 Oneto, Luca; Navarin, Nicolo'; Pasa, Luca; Rigoni, Davide; Anguita, Davide
On the application of neural networks for structured domains to fMRI data
2026 Donghi, Giovanni; Pasa, Luca; De Filippo De Grazia, Michele; Testolin, Alberto; Zorzi, Marco; Sperduti, Alessandro; Navarin, Nicolò
The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning
2026 Donghi, Giovanni; Zambon, Daniele; Pasa, Luca; Alippi, Cesare; Navarin, Nicolo
Enhancing door-to-door waste collection forecasting through ML
2025 Pasa, L.; Angelini, G.; Ballarin, M.; Fedrizzi, P.; Sperduti, A.
Foundation and Generative Models for Graphs
2025 Bacciu, Davide; Errica, Federico; Moro, Stefano; Pasa, Luca; Rigoni, Davide; Zambon, Daniele
Your PIN is Mine: Uncovering Users' PINs at Point of Sale Machines
2025 Cecconello, S.; Cardaioli, M.; Pasa, L.; Picek, S.; Smaragdakis, G.
A unified framework for backpropagation-free soft and hard gated graph neural networks
2024 Pasa, Luca; Navarin, Nicolo; Erb, Wolfgang; Sperduti, Alessandro
Beyond the Additive Nodes' Convolutions: a Study on High-Order Multiplicative Integration
2024 Frazzetto, P.; Pasa, L.; Navarin, N.; Sperduti, A.
Empowering Simple Graph Convolutional Networks
2024 Pasa, L; Navarin, N; Erb, W; Sperduti, A
Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing
2024 Franco, D.; D'Amato, V. S.; Pasa, L.; Navarin, N.; Oneto, L.
Informed Machine Learning for Complex Data
2024 Oneto, Luca; Navarin, Nicolo; Micheli, Alessio; Pasa, Luca; Gallicchio, Claudio; Bacciu, Davide; Anguita, Davide
Investigating over-parameterized randomized graph networks
2024 Donghi, G.; Pasa, L.; Oneto, L.; Gallicchio, C.; Micheli, A.; Anguita, D.; Sperduti, A.; Navarin, N.
Physics-Informed Graph Neural Cellular Automata: An Application to Compartmental Modelling
2024 Navarin, N.; Frazzetto, P.; Pasa, L.; Verzelli, P.; Visentin, F.; Sperduti, A.; Alippi, C.
Relative Local Signal Strength: The Impact of Normalization on the Analysis of Neuroimaging Data with Deep Learning
2024 Donghi, G.; Pasa, L.; Testolin, A.; Zorzi, M.; Sperduti, A.; Navarin, N.