3 citations · 3 across the 2 of their papers we have counts for
3 papers
Cup and Cap Topological Neural Network
Marta Niedostatek, Ferran Hernandez Caralt, Runyue Wang +4
Topological Deep Learning (TDL) is designed to learn features associated with higher-dimensional simplices including not only nodes but also edges, triangles and so on. However, mo…
Transfer Dynamics and Spectral Cascades in Graph-Coupled Kuramoto Networks
Marcin Kowalczyk, Pietro Liò, Zbigniew R. Struzik
This work introduces a spectral transfer formalism for nonlinear synchronisation dynamics to resolve how internal dynamical activity redistributes across network scales, moving bey…
Dirac-Equation Signal Processing: Physics Boosts Topological Machine Learning
Runyue Wang, Yu Tian, Pietro Liò +1
Topological signals are variables or features associated with both nodes and edges of a network. Recently, in the context of Topological Machine Learning, great attention has been…