đź“„ Journal Articles
2. Corradini, B. T., Cullen, B., Gallegati, C., Marziali, S., D’Inverno, G. A., Bianchini, M., & Scarselli, F. Training dynamics of GANs through the lens of persistent homology. Neurocomputing, Vol. 661, 131976, 2026. [link]
1. Pancino, N., Gallegati, C., Romagnoli, F., Bongini, P., & Bianchini, M. Protein–protein interfaces: A graph neural network approach. International Journal of Molecular Sciences, 25 (11), 5870, 2024. [link]
đź“– Book Chapters
1. Gallegati C., Bianchini M., D’Inverno G.A., Understanding Generative Models: Manifold Hypothesis and Approximation Capabilities. Book chapter in Generative AI in Intelligent Systems and Applications: Unleashing the Potential, Springer Verlag Germany, 2026. [In press, link not available]
⏳ Preprints
1. Pancino, N., Ceroni, E. G., Romagnoli, F., Gallegati, C., & Bianchini, M. Embedding Secondary Structures in Graphs–Of–Sequences for Protein–Protein Interface Prediction. Available at SSRN 5137809, 2025. [link]