2 papers
math.NA2025
Surrogate models for diffusion on graphs via sparse polynomials
Giuseppe Alessio D'Inverno, Kylian Ajavon, Simone Brugiapaglia
Diffusion kernels over graphs have been widely utilized as effective tools in various applications due to their ability to accurately model the flow of information through nodes an…
cs.LG2023
Generalization Limits of Graph Neural Networks in Identity Effects Learning
Giuseppe Alessio D'Inverno, Simone Brugiapaglia, Mirco Ravanelli
Graph Neural Networks (GNNs) have emerged as a powerful tool for data-driven learning on various graph domains. They are usually based on a message-passing mechanism and have gaine…