Author

Alessio Gravina

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#machine learning Oct 2026

Oscillatory Neural Dynamics over Sheaves

Effective long-range propagation remains a central challenge in graph neural networks, as increasing a model's propagation depth does not guarantee that distant nodes effectively influence each other. Sheaf neural networks enrich graph propagation through matrix-valued transport between stalks; still, this expressivity...

J. Van Looy, Alessandro Trenta, Alessio Gravina et al. · arXiv (Cornell University) · 0 citations

#graph neural networks Review Sep 2026

Shaping Graph Neural Networks with Dynamical Systems

This work presents a unified dynamical-systems perspective for shaping approaches that explicitly control and regulate the degree of propagation, conservation, and dissipation of information throughout the neural flow, and highlights how neural differential equations provide a coherent theoretical framework for designi...

Alessio Gravina · Intelligenza Artificiale · 0 citations