Gravina, Alessio

11 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

NeurIPS 2025 Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof, Carola-Bibiane Schönlieb, Davide Bacciu, Xiaowen Dong, Kamyar Azizzadenesheli, Pierre Vandergheynst

NeurIPS 2025 SONAR: Long-Range Graph Propagation Through Information Waves Alessandro Trenta, Alessio Gravina, Davide Bacciu

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

IJCAI 2024 Temporal Graph ODEs for Irregularly-Sampled Time Series Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi

NeurIPSW 2023 Anomaly Detection in Continuous-Time Temporal Provenance Graphs Jakub Reha, Giulio Lovisotto, Michele Russo, Alessio Gravina, Claas Grohnfeldt

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