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Journal Articles
- 2024
[j4]Davide Bacciu
, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo:
Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. IEEE Trans. Emerg. Top. Comput. 12(1): 177-189 (2024)- [j3]Alessio Gravina, Davide Bacciu:
Deep Learning for Dynamic Graphs: Models and Benchmarks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11788-11801 (2024) - 2022
- [j2]Alessio Gravina, Jennifer L. Wilson, Davide Bacciu, Kevin Grimes, Corrado Priami:
Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks. PLoS Comput. Biol. 18(5) (2022) - 2013
- [j1]Monica Alderighi, Fabio Casini, Sergio D'Angelo, Alessio Gravina, Valentino Liberali, Marcello Mancini, Paolo Musazzi, Sandro Pastore, Matteo Sassi, Gabriele Sorrenti:
A Preliminary Study about SEU Effects on Programmable Interconnections of SRAM-based FPGAs. J. Electron. Test. 29(3): 341-350 (2013)
Conference and Workshop Papers
- 2024
- [c7]Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt:
Long Range Propagation on Continuous-Time Dynamic Graphs. ICML 2024 - [c6]Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi:
Temporal Graph ODEs for Irregularly-Sampled Time Series. IJCAI 2024: 4025-4034 - 2023
- [c5]Federico Errica, Alessio Gravina, Davide Bacciu, Alessio Micheli:
Hidden Markov Models for Temporal Graph Representation Learning. ESANN 2023 - [c4]Jakub Reha, Giulio Lovisotto, Michele Russo, Alessio Gravina, Claas Grohnfeldt:
Continuous-Time Temporal Graph Learning on Provenance Graphs. ICDM (Workshops) 2023: 1131-1140 - [c3]Alessio Gravina, Davide Bacciu, Claudio Gallicchio:
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. ICLR 2023 - 2019
- [c2]Federico Rossetto, Alessio Gravina, Silvia Severini, Giuseppe Attardi:
A Comparative Study of Models for Answer Sentence Selection. CLiC-it 2019 - 2018
- [c1]Alessio Gravina, Federico Rossetto, Silvia Severini, Giuseppe Attardi:
Cross Attention for Selection-based Question Answering. NL4AI@AI*IA 2018: 53-62
Informal and Other Publications
- 2024
- [i6]Alessio Gravina, Daniele Zambon, Davide Bacciu, Cesare Alippi:
Temporal Graph ODEs for Irregularly-Sampled Time Series. CoRR abs/2404.19508 (2024) - [i5]Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schönlieb:
Tackling Graph Oversquashing by Global and Local Non-Dissipativity. CoRR abs/2405.01009 (2024) - [i4]Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu:
Injecting Hamiltonian Architectural Bias into Deep Graph Networks for Long-Range Propagation. CoRR abs/2405.17163 (2024) - [i3]Alessio Gravina, Giulio Lovisotto, Claudio Gallicchio, Davide Bacciu, Claas Grohnfeldt:
Long Range Propagation on Continuous-Time Dynamic Graphs. CoRR abs/2406.02740 (2024) - 2023
- [i2]Alessio Gravina, Davide Bacciu:
Deep learning for dynamic graphs: models and benchmarks. CoRR abs/2307.06104 (2023) - 2022
- [i1]Alessio Gravina, Davide Bacciu, Claudio Gallicchio:
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks. CoRR abs/2210.09789 (2022)
Coauthor Index
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