Marco Podda

According to our database, Marco Podda authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Graph Networks for Drug Repurposing With Multi-Protein Targets.

Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo

IEEE Trans. Emerg. Top. Comput., 2024

2023

Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs.

Michele Fontanesi, Alessio Micheli, Paolo Milazzo, Marco Podda

Bioinform., October, 2023

Classifier-free graph diffusion for molecular property targeting.

Matteo Ninniri, Marco Podda, Davide Bacciu

CoRR, 2023

2021

Deep Learning on Graphs with Applications to the Life Sciences.

Marco Podda

PhD thesis, 2021

Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation.

Davide Bacciu, Marco Podda

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A gentle introduction to deep learning for graphs.

Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda

Neural Networks, 2020

Edge-based sequential graph generation with recurrent neural networks.

Davide Bacciu, Alessio Micheli, Marco Podda

Neurocomputing, 2020

A Fair Comparison of Graph Neural Networks for Graph Classification.

Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli

Proceedings of the 8th International Conference on Learning Representations, 2020

Biochemical Pathway Robustness Prediction with Graph Neural Networks.

Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Classification of Biochemical Pathway Robustness with Neural Networks for Graphs.

Marco Podda, Pasquale Bove, Alessio Micheli, Paolo Milazzo

Proceedings of the Biomedical Engineering Systems and Technologies, 2020

Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks.

Pasquale Bove, Alessio Micheli, Paolo Milazzo, Marco Podda

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

A Deep Generative Model for Fragment-Based Molecule Generation.

Marco Podda, Davide Bacciu, Alessio Micheli

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Graph generation by sequential edge prediction.

Davide Bacciu, Alessio Micheli, Marco Podda

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019