Gallicchio, Claudio

14 publications

ICML 2025 Graph Adaptive Autoregressive Moving Average Models Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb

AAAI 2025 On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb

NeurIPS 2025 On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael M. Bronstein, Pierre Vandergheynst

ICLR 2025 Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu

ECML-PKDD 2024 Continuously Deep Recurrent Neural Networks Andrea Ceni, Peter Ford Dominey, Claudio Gallicchio, Alessio Micheli, Luca Pedrelli, Domenico Tortorella

ICML 2024 Long Range Propagation on Continuous-Time Dynamic Graphs Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt

NeurIPSW 2024 Nanowire Neural Networks for Time-Series Processing Veronica Pistolesi, Andrea Ceni, Claudio Gallicchio, Gianluca Milano, Carlo Ricciardi

AISTATS 2024 Random Oscillators Network for Time Series Processing Andrea Ceni, Andrea Cossu, Maximilian W Stölzle, Jingyue Liu, Cosimo Della Santina, Davide Bacciu, Claudio Gallicchio

ICLR 2023 Anti-Symmetric DGN: A Stable Architecture for Deep Graph Networks Alessio Gravina, Davide Bacciu, Claudio Gallicchio

ICMLW 2023 Decentralized Plasticity in Reservoir Dynamical Networks for Pervasive Environments Valerio De Caro, Davide Bacciu, Claudio Gallicchio

NeurIPSW 2023 Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt

ICMLW 2023 Randomly Coupled Oscillators for Time Series Processing Andrea Ceni, Andrea Cossu, Jingyue Liu, Maximilian Stölzle, Cosimo Della Santina, Claudio Gallicchio, Davide Bacciu

AAAI 2020 Fast and Deep Graph Neural Networks Claudio Gallicchio, Alessio Micheli

ICML 2018 Tree Edit Distance Learning via Adaptive Symbol Embeddings Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli, Barbara Hammer