GAMS: Graph Augmentation with Module Swapping. - Alessandro Bicciato; Andrea Torsello (ICPRAM, 2022)

Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment. - Alessandro Bicciato; Luca Cosmo; Giorgia Minello; Luca Rossi 004; Andrea Torsello (S+SSPR, 2022)

Mixture of Variational Graph Autoencoders. - Alessandro Bicciato; Edwin R. Hancock; Richard C. Wilson 001; Andrea Torsello (S+SSPR, 2024)

LESI-GNN: An Interpretable Graph Neural Network Based on Local Structures Embedding. - Giorgia Minello; Lingfeng Zhang; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (S+SSPR, 2024)

Graph Generation via Spectral Diffusion. - Giorgia Minello; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (CoRR, 2024)

GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection. - Alessandro Bicciato; Luca Cosmo; Giorgia Minello; Luca Rossi 004; Andrea Torsello (Pattern Recognit., 2024)

Generating Graphs via Spectral Diffusion. - Giorgia Minello; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (ICLR, 2025)

Graph Kernel Neural Networks. - Luca Cosmo; Giorgia Minello; Alessandro Bicciato; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (IEEE Trans. Neural Networks Learn. Syst., 2025)