Marco Podda

发表

A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor

Davide Bacciu, Alessio Micheli, Marco Podda, 2018, Scientific Reports.

Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks

Alessio Micheli, Paolo Milazzo, Pasquale Bove, 2020, BIOINFORMATICS.

Clinical factors associated with death in 3044 COVID-19 patients managed in internal medicine wards in Italy: results from the SIMI-COVID-19 study of the Italian Society of Internal Medicine (SIMI)

A. Gasbarrini, W. Ageno, D. Girelli, 2021, Internal and Emergency Medicine.

Edge-based sequential graph generation with recurrent neural networks

A. Micheli, D. Bacciu, Marco Podda, 2020, Neurocomputing.

A Fair Comparison of Graph Neural Networks for Graph Classification

A. Micheli, D. Bacciu, Federico Errica, 2019, ICLR.

A Deep Generative Model for Fragment-Based Molecule Generation

A. Micheli, D. Bacciu, Marco Podda, 2020, AISTATS.

A Gentle Introduction to Deep Learning for Graphs

Davide Bacciu, Alessio Micheli, Federico Errica, 2019, Neural Networks.

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

Davide Bacciu, Marco Podda, D. Bacciu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Classification of Biochemical Pathway Robustness with Neural Networks for Graphs

A. Micheli, P. Milazzo, Marco Podda, 2020, BIOSTEC.

Biochemical Pathway Robustness Prediction with Graph Neural Networks

Paolo Milazzo, Marco Podda, Alessio Micheli, 2020, ESANN.

Graph Representation Learning

Federico Errica, Marco Podda, Luca Pasa, 2023, ESANN.

Graph generation by sequential edge prediction

Davide Bacciu, Alessio Micheli, Marco Podda, 2019, ESANN.