Gravina, Alessio

13 publications

ICLR 2026 Can You Hear Me Now? a Benchmark for Long-Range Graph Propagation Luca Miglior, Matteo Tolloso, Alessio Gravina, Davide Bacciu

ICLR 2026 Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann

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