2024
Disentangling the Spectral Properties of the Hodge Laplacian: not all small Eigenvalues are Equal
ICASSP 2024accepted
The rich spectral information of the graph Laplacian has been instrumental in graph theory, machine learning, and graph signal processing for applications such as graph classification, clustering, or eigenmode analysis. Recently, the Hodge Laplacian has come into focus as a generalisation of the ord…