no code implementations • 27 May 2024 • Simon Heilig, Alessio Gravina, Alessandro Trenta, Claudio Gallicchio, Davide Bacciu
The dynamics of information diffusion within graphs is a critical open issue that heavily influences graph representation learning, especially when considering long-range propagation.
1 code implementation • 18 Dec 2021 • Simon Heilig, Maximilian Münch, Frank-Michael Schleif
Matrix approximations are a key element in large-scale algebraic machine learning approaches.
