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Marco Podda
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Cited by
Cited by
Year
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
5352020
A gentle introduction to deep learning for graphs
D Bacciu, F Errica, A Micheli, M Podda
Neural Networks 129 (September), 203-221, 2020
3372020
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
872018
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
752020
Edge-based sequential graph generation with recurrent neural networks
D Bacciu, A Micheli, M Podda
Neurocomputing 416 (November), 177-189, 2020
442020
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
192020
Graph generation by sequential edge prediction
D Bacciu, A Micheli, M Podda
Proceedings of the 27th European Symposium on Artificial Neural Networks …, 2019
162019
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
42023
Classifier-free graph diffusion for molecular property targeting
M Ninniri, M Podda, D Bacciu
https://arxiv.org/abs/2312.17397, 2024
22024
Deep Learning on Graphs with Applications to the Life Sciences
M Podda
University of Pisa, 2021
22021
XAI and Bias of Deep Graph Networks
M Fontanesi, A Micheli, M Podda
ESANN, 2024
12024
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
12023
Deep learning in cheminformatics
A Micheli, M Podda
Deep Learning in Biology and Medicine, 157-195, 2022
12022
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
12021
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
12020
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
12019
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 (Suppl 1), euae102. 558, 2024
2024
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