| A Fair Comparison of Graph Neural Networks for Graph Classification F Errica, M Podda, D Bacciu, A Micheli 8th International Conference on Learning Representations (ICLR), 2020 | 522 | 2020 |
| A gentle introduction to deep learning for graphs D Bacciu, F Errica, A Micheli, M Podda Neural Networks 129 (September), 203-221, 2020 | 321 | 2020 |
| A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor M Podda, D Bacciu, A Micheli, R Bellù, G Placidi, L Gagliardi Scientific reports 8 (1), 13743, 2018 | 86 | 2018 |
| A Deep Generative Model for Fragment-Based Molecule Generation M Podda, D Bacciu, A Micheli Proceedings of the 23rd International Conference on Artificial Intelligence …, 2020 | 71 | 2020 |
| Edge-based sequential graph generation with recurrent neural networks D Bacciu, A Micheli, M Podda Neurocomputing 416 (November), 177-189, 2020 | 41 | 2020 |
| Prediction of dynamical properties of biochemical pathways with Graph Neural Networks P Bove, A Micheli, P Milazzo, M Podda Proceedings of the 13th International Joint Conference on Biomedical …, 2020 | 19 | 2020 |
| Graph generation by sequential edge prediction D Bacciu, A Micheli, M Podda Proceedings of the 27th European Symposium on Artificial Neural Networks …, 2019 | 16 | 2019 |
| Graphgen-redux: A fast and lightweight recurrent model for labeled graph generation D Bacciu, M Podda 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 9* | 2021 |
| 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 | 4 | 2023 |
| Classifier-free graph diffusion for molecular property targeting M Ninniri, M Podda, D Bacciu https://arxiv.org/abs/2312.17397, 2024 | 2 | 2024 |
| Deep Learning on Graphs with Applications to the Life Sciences M Podda University of Pisa, 2021 | 2 | 2021 |
| Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs M Fontanesi, A Micheli, P Milazzo, M Podda Bioinformatics 39 (11), btad678, 2023 | 1 | 2023 |
| Deep learning in cheminformatics A Micheli, M Podda Deep Learning in Biology and Medicine, 157-195, 2022 | 1 | 2022 |
| Classification of Biochemical Pathway Robustness with Neural Networks for Graphs M Podda, P Bove, A Micheli, P Milazzo Biomedical Engineering Systems and Technologies, 215-219, 2021 | 1 | 2021 |
| Biochemical Pathway Robustness Prediction with Graph Neural Networks M Podda, D Bacciu, A Micheli, P Milazzo Proceedings of the 28th European Symposium on Artificial Neural Networks …, 2020 | 1 | 2020 |
| Preliminary Results on Predicting Robustness of Biochemical Pathways through Machine Learning on Graphs P Bove, A Micheli, P Milazzo, M Podda Pre-proceedings of the 8th International Symposium “From Data to Models and …, 2019 | 1 | 2019 |
| How Much Do DNA and Protein Deep Embeddings Preserve Biological Information? M Tolloso, SG Galfrè, A Pavone, M Podda, A Sîrbu, C Priami International Conference on Computational Methods in Systems Biology, 209-225, 2024 | | 2024 |
| Explaining Graph Classifiers by Unsupervised Node Relevance Attribution M Fontanesi, A Micheli, M Podda Explainable Artificial Intelligence, 63-74, 2024 | | 2024 |
| Predictive machine learning model for mechanical dilatation in transvenous lead extraction procedures R De Lucia, A Micheli, A Parlato, M Podda, L Pedrelli, F Aliprandi, ... Europace 26 (Supplement_1), euae102. 558, 2024 | | 2024 |
| Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning M Podda, S Bonechi, A Palladino, M Scaramuzzino, A Brozzi, G Roma, ... iScience, 2024 | | 2024 |
Alessio MicheliDepartment of Computer Science, University of PisaVerified email at di.unipi.it
