Marco Podda
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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
A gentle introduction to deep learning for graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129 (September), 203-221, 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 Bellý, G Placidi, L Gagliardi
Scientific reports 8 (1), 13743, 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
Edge-based sequential graph generation with recurrent neural networks
D Bacciu, A Micheli, M Podda
Neurocomputing 416 (November), 177-189, 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
Graph generation by sequential edge prediction
D Bacciu, A Micheli, M Podda
Proceedings of the 27th European Symposium on Artificial Neural Networks†…, 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
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, 2023
Deep Learning on Graphs with Applications to the Life Sciences
M Podda
University of Pisa, 2021
Classifier-free graph diffusion for molecular property targeting
M Ninniri, M Podda, D Bacciu, 2024
Deep Learning in Cheminformatics
A Micheli, M Podda
Deep Learning in Biology and Medicine, 157-195, 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
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
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
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
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
Graph Representation Learning
D Bacciu, F Errica, A Micheli, N Navarin, L Pasa, M Podda, D Zambon
ESANN 2023 proceedings, 1-10, 2023
In silico modeling of biochemical pathways
P Milazzo, R Gori, A Micheli, L Nasti, M Podda
Biomedical Science and Engineering 3 (1), 2022
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
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