| Anti-Symmetric DGN: a stable architecture for Deep Graph Networks A Gravina, D Bacciu, C Gallicchio Proceedings of the Eleventh International Conference on Learning …, 2022 | 70 | 2022 |
| Deep learning for dynamic graphs: models and benchmarks A Gravina, D Bacciu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 15 | 2024 |
| From random to predictive: a context-specific interaction framework improves selection of drug protein–protein interactions for unknown drug pathways JL Wilson, A Gravina, K Grimes Integrative Biology 14 (1), 13-24, 2022 | 10 | 2022 |
| Temporal Graph ODEs for Irregularly-Sampled Time Series A Gravina, D Zambon, D Bacciu, C Alippi Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 8 | 2024 |
| Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with deep graph networks A Gravina, JL Wilson, D Bacciu, KJ Grimes, C Priami PLOS Computational Biology 18 (5), e1009531, 2022 | 7 | 2022 |
| Cross Attention for Selection-based Question Answering. A Gravina, F Rossetto, S Severini, G Attardi NL4AI@ AI* IA, 53-62, 2018 | 7 | 2018 |
| Anomaly detection in continuous-time temporal provenance graphs J Reha, G Lovisotto, M Russo, A Gravina, C Grohnfeldt Temporal Graph Learning Workshop@ NeurIPS 2023, 2023 | 6 | 2023 |
| Long Range Propagation on Continuous-Time Dynamic Graphs A Gravina, G Lovisotto, C Gallicchio, D Bacciu, C Grohnfeldt Proceedings of the 41st International Conference on Machine Learning, 2024 | 5 | 2024 |
| Deep graph networks for drug repurposing with multi-protein targets D Bacciu, F Errica, A Gravina, L Madeddu, M Podda, G Stilo IEEE Transactions on Emerging Topics in Computing 12 (1), 177-189, 2023 | 5 | 2023 |
| Hidden Markov Models for Temporal Graph Representation Learning F Errica, A Gravina, D Bacciu, A Micheli European Symposium on Artificial Neural Networks (ESANN), 2023 | 4 | 2023 |
| Non-dissipative Propagation by Randomized Anti-symmetric Deep Graph Networks A Gravina, C Gallicchio, D Bacciu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 2 | 2023 |
| Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks S Heilig, A Gravina, A Trenta, C Gallicchio, D Bacciu The Thirteenth International Conference on Learning Representations, 2025 | 1* | 2025 |
| On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems A Gravina, M Eliasof, C Gallicchio, D Bacciu, CB Schönlieb The 39th Annual AAAI Conference on Artificial Intelligence, 2025 | 1 | 2025 |
| A Comparative Study of Models for Answer Sentence Selection. F Rossetto, A Gravina, S Severini, G Attardi CLiC-it, 2019 | 1 | 2019 |
| On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning Á Arroyo, A Gravina, B Gutteridge, F Barbero, C Gallicchio, X Dong, ... arXiv preprint arXiv:2502.10818, 2025 | | 2025 |
| GRAMA: Adaptive Graph Autoregressive Moving Average Models M Eliasof, A Gravina, A Ceni, C Gallicchio, D Bacciu, CB Schönlieb arXiv preprint arXiv:2501.12732, 2025 | | 2025 |
| Information propagation dynamics in Deep Graph Networks A Gravina arXiv preprint arXiv:2410.10464, 2024 | | 2024 |
| Continuous-Time Temporal Graph Learning on Provenance Graphs J Reha, G Lovisotto, M Russo, A Gravina, C Grohnfeldt 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1131-1140, 2023 | | 2023 |
| A Comparative Study of Models for Answer Sentence Selection A Gravina, F Rossetto, S Severini, G Attardi Proceedings of the Sixth Italian Conference on Computational Linguistics, 2019 | | 2019 |
| Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks S Heilig, A Gravina, A Trenta, C Gallicchio, D Bacciu The Thirteenth International Conference on Learning Representations, 0 | | |
Davide BacciuProfessor @ Universitā di Pisa - Founder & Chief Scientist @ ContinualIST.comVerified email at di.unipi.it
