Alessio Gravina

According to our database, Alessio Gravina authored at least 21 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Kamyar Azizzadenesheli, Xiaowen Dong, Pierre Vandergheynst

CoRR, June, 2025

Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling.

Andrea Ceni, Alessio Gravina, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb, Moshe Eliasof

CoRR, May, 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

CoRR, February, 2025

GRAMA: Adaptive Graph Autoregressive Moving Average Models.

Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb

CoRR, January, 2025

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks.

Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems.

Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Deep Learning for Dynamic Graphs: Models and Benchmarks.

Alessio Gravina, Davide Bacciu

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Deep Graph Networks for Drug Repurposing With Multi-Protein Targets.

Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo

IEEE Trans. Emerg. Top. Comput., 2024

Information propagation dynamics in Deep Graph Networks.

Alessio Gravina

CoRR, 2024

Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation.

Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu

CoRR, 2024

Tackling Graph Oversquashing by Global and Local Non-Dissipativity.

Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb

CoRR, 2024

Temporal Graph ODEs for Irregularly-Sampled Time Series.

Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Long Range Propagation on Continuous-Time Dynamic Graphs.

Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks.

Alessio Gravina, Claudio Gallicchio, Davide Bacciu

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Anti-Symmetric DGN: a stable architecture for Deep Graph Networks.

Alessio Gravina, Davide Bacciu, Claudio Gallicchio

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Continuous-Time Temporal Graph Learning on Provenance Graphs.

Jakub Reha, Giulio Lovisotto, Michele Russo, Alessio Gravina, Claas Grohnfeldt

Proceedings of the IEEE International Conference on Data Mining, 2023

Hidden Markov Models for Temporal Graph Representation Learning.

Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks.

Alessio Gravina, Jennifer L. Wilson, Davide Bacciu, Kevin Grimes, Corrado Priami

PLoS Comput. Biol., 2022

2019

A Comparative Study of Models for Answer Sentence Selection.

Federico Rossetto, Alessio Gravina, Silvia Severini, Giuseppe Attardi

Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019

2018

Cross Attention for Selection-based Question Answering.

Alessio Gravina, Federico Rossetto, Silvia Severini, Giuseppe Attardi

Proceedings of the 2nd Workshop on Natural Language for Artificial Intelligence (NL4AI 2018) co-located with 17th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2018), 2018

2013

A Preliminary Study about SEU Effects on Programmable Interconnections of SRAM-based FPGAs.

Monica Alderighi, Fabio Casini, Sergio D'Angelo, Alessio Gravina, Valentino Liberali, Marcello Mancini, Paolo Musazzi, Sandro Pastore, Matteo Sassi, Gabriele Sorrenti

J. Electron. Test., 2013