Podda, Marco

6 publications

MLJ 2025 Bridging XAI and Spectral Analysis to Investigate the Inductive Biases of Deep Graph Networks Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella

MLJ 2025 Efficient Quantification on Large-Scale Networks Alessio Micheli, Alejandro Moreo, Marco Podda, Fabrizio Sebastiani, William Simoni, Domenico Tortorella

NeurIPS 2025 Graph Diffusion That Can Insert and Delete Matteo Ninniri, Marco Podda, Davide Bacciu

ECML-PKDD 2024 Classifier-Free Graph Diffusion for Molecular Property Targeting Matteo Ninniri, Marco Podda, Davide Bacciu

AISTATS 2020 A Deep Generative Model for Fragment-Based Molecule Generation Marco Podda, Davide Bacciu, Alessio Micheli

ICLR 2020 A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica, Marco Podda, Davide Bacciu, Alessio Micheli