PASA, LUCA
PASA, LUCA
Dipartimento di Matematica "Tullio Levi-Civita" - DM
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
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.
Towards the Application of Backpropagation-Free Graph Convolutional Networks on Huge Datasets
2024 Navarin, Nicolo; Pasa, Luca; Sperduti, Alessandro
“All of Me”: Mining Users’ Attributes from their Public Spotify Playlists
2024 Tricomi, Pier Paolo; Pajola, Luca; Pasa, Luca; Conti, Mauro
An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features
2023 Navarin, Nicolo; Pasa, Luca; Oneto, Luca; Sperduti, Alessandro
An Untrained Neural Model for Fast and Accurate Graph Classification
2023 Navarin, N.; Pasa, L.; Gallicchio, C.; Sperduti, A.
Graph Representation Learning
2023 Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolo; Pasa, Luca; Podda, Marco; Zambon, Daniele
Topology preserving maps as aggregations for Graph Convolutional Neural Networks
2023 Frazzetto, P.; Pasa, L.; Navarin, N.; Sperduti, A.
Backpropagation-free Graph Neural Networks
2022 Pasa, L.; Navarin, N.; Erb, W.; Sperduti, A.
Compact graph neural network models for node classification
2022 Pasa, L.; Navarin, N.; Sperduti, A.
Deep learning for graph-structured data
2022 Pasa, L.; Navarin, N.; Sperduti, A.
Understanding Catastrophic Forgetting of Gated Linear Networks in Continual Learning
2022 Munari, M; Pasa, L; Zambon, D; Alippi, C; Navarin, N