Alessio Gravina

30 papers A* 6B 2Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation.
CoRR
Luca Miglior, Matteo Tolloso, Alessio Gravina, Davide Bacciu
2025 J jnl
GRAMA: Adaptive Graph Autoregressive Moving Average Models.
CoRR
Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025 A* conf
Graph Adaptive Autoregressive Moving Average Models.
ICML
Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025 J jnl
Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics.
CoRR
Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann
2025 J jnl
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling.
CoRR
Andrea Ceni, Alessio Gravina, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb, Moshe Eliasof
2025 B conf
Non-Dissipative Graph Propagation for Non-Local Community Detection.
IJCNN
William Leeney, Alessio Gravina, Davide Bacciu
2025 J jnl
Non-Dissipative Graph Propagation for Non-Local Community Detection.
CoRR
William Leeney, Alessio Gravina, Davide Bacciu
2025 A* conf
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems.
AAAI
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2025 J jnl
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning.
CoRR
Alvaro Arroyo, Alessio Gravina, Benjamin Gutteridge, Federico Barbero, Claudio Gallicchio, Xiaowen Dong, Michael M. Bronstein, Pierre Vandergheynst
2025 A* conf
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks.
ICLR
Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
2025 J jnl
Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks.
CoRR
Ali Hariri, Alvaro Arroyo, Alessio Gravina, Moshe Eliasof, Carola-Bibiane Schönlieb, Davide Bacciu, Kamyar Azizzadenesheli, Xiaowen Dong, Pierre Vandergheynst
2024 J jnl
Deep Graph Networks for Drug Repurposing With Multi-Protein Targets.
IEEE Trans. Emerg. Top. Comput.
Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo
2024 J jnl
Deep Learning for Dynamic Graphs: Models and Benchmarks.
IEEE Trans. Neural Networks Learn. Syst.
Alessio Gravina, Davide Bacciu
2024 J jnl
Information propagation dynamics in Deep Graph Networks.
CoRR
Alessio Gravina
2024 J jnl
Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation.
CoRR
Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
2024 A* conf
Long Range Propagation on Continuous-Time Dynamic Graphs.
ICML
Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt
2024 J jnl
Long Range Propagation on Continuous-Time Dynamic Graphs.
CoRR
Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt
2024 J jnl
Tackling Graph Oversquashing by Global and Local Non-Dissipativity.
CoRR
Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb
2024 A* conf
Temporal Graph ODEs for Irregularly-Sampled Time Series.
IJCAI
Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
2024 J jnl
Temporal Graph ODEs for Irregularly-Sampled Time Series.
CoRR
Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi
2023 A* conf
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks.
ICLR
Alessio Gravina, Davide Bacciu, Claudio Gallicchio
2023 — conf
Continuous-Time Temporal Graph Learning on Provenance Graphs.
ICDM (Workshops)
Jakub Reha, Giulio Lovisotto, Michele Russo, Alessio Gravina, Claas Grohnfeldt
2023 J jnl
Deep learning for dynamic graphs: models and benchmarks.
CoRR
Alessio Gravina, Davide Bacciu
2023 B conf
Hidden Markov Models for Temporal Graph Representation Learning.
ESANN
Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli
2023 — conf
Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks.
PKDD/ECML Workshops (5)
Alessio Gravina, Claudio Gallicchio, Davide Bacciu
2022 J jnl
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks.
CoRR
Alessio Gravina, Davide Bacciu, Claudio Gallicchio
2022 J jnl
Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks.
PLoS Comput. Biol.
Alessio Gravina, Jennifer L. Wilson, Davide Bacciu, Kevin Grimes, Corrado Priami
2019 — conf
A Comparative Study of Models for Answer Sentence Selection.
CLiC-it
Federico Rossetto, Alessio Gravina, Silvia Severini, Giuseppe Attardi
2018 — conf
Cross Attention for Selection-based Question Answering.
NL4AI@AI*IA
Alessio Gravina, Federico Rossetto, Silvia Severini, Giuseppe Attardi
2013 J jnl
A Preliminary Study about SEU Effects on Programmable Interconnections of SRAM-based FPGAs.
J. Electron. Test.
Monica Alderighi, Fabio Casini, Sergio D'Angelo, Alessio Gravina, Valentino Liberali, Marcello Mancini, Paolo Musazzi, Sandro Pastore, Matteo Sassi, Gabriele Sorrenti