Marco Podda

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Pitman Yor Process

Gentle Introduction

Top Venues

Publications

Davide Bacciu, Federico Errica, Alessio Gravina, Lorenzo Madeddu, Marco Podda, Giovanni Stilo
Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Matteo Ninniri, Marco Podda, Davide Bacciu
Classifier-free graph diffusion for molecular property targeting. CoRR (2023)
Michele Fontanesi, Alessio Micheli, Paolo Milazzo, Marco Podda
Exploiting the structure of biochemical pathways to investigate dynamical properties with neural networks for graphs. Bioinform. 39 (10) (2023)
Davide Bacciu, Federico Errica, Alessio Micheli, Nicolò Navarin, Luca Pasa, Marco Podda, Daniele Zambon
Graph Representation Learning. ESANN (2023)
Marco Podda, Davide Bacciu
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. CoRR (2021)
Davide Bacciu, Marco Podda
Graphgen-redux: a Fast and Lightweight Recurrent Model for labeled Graph Generation. IJCNN (2021)
Pasquale Bove, Alessio Micheli, Paolo Milazzo, Marco Podda
Prediction of Dynamical Properties of Biochemical Pathways with Graph Neural Networks. BIOINFORMATICS (2020)
Davide Bacciu, Alessio Micheli, Marco Podda
Edge-based sequential graph generation with recurrent neural networks. Neurocomputing 416 (2020)
Marco Podda, Alessio Micheli, Davide Bacciu, Paolo Milazzo
Biochemical Pathway Robustness Prediction with Graph Neural Networks. ESANN (2020)
Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli
A Fair Comparison of Graph Neural Networks for Graph Classification. ICLR (2020)
Davide Bacciu, Alessio Micheli, Marco Podda
Edge-based sequential graph generation with recurrent neural networks. CoRR (2020)
Marco Podda, Davide Bacciu, Alessio Micheli
A Deep Generative Model for Fragment-Based Molecule Generation. CoRR (2020)
Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda
A gentle introduction to deep learning for graphs. Neural Networks 129 (2020)
Marco Podda, Davide Bacciu, Alessio Micheli
A Deep Generative Model for Fragment-Based Molecule Generation. AISTATS (2020)
Marco Podda, Pasquale Bove, Alessio Micheli, Paolo Milazzo
Classification of Biochemical Pathway Robustness with Neural Networks for Graphs. BIOSTEC (Selected Papers) (2020)
Davide Bacciu, Alessio Micheli, Marco Podda
Graph generation by sequential edge prediction. ESANN (2019)
Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda
A Gentle Introduction to Deep Learning for Graphs. CoRR (2019)
Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli
A Fair Comparison of Graph Neural Networks for Graph Classification. CoRR (2019)