no code implementations • 1 Oct 2022 • Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos
In this paper, we introduce a new clustering framework, the Parametrized Random Walk Diffusion Kernel Clustering (P-RWDKC), which is suitable for handling both directed and undirected graphs.
no code implementations • 7 Mar 2022 • Harry Sevi, Matthieu Jonckheere, Argyris Kalogeratos
In this paper, we present a generalized spectral clustering framework that can address both directed and undirected graphs.
no code implementations • 28 Nov 2018 • Harry Sevi, Gabriel Rilling, Pierre Borgnat
We introduce a novel harmonic analysis for functions defined on the vertices of a strongly connected directed graph of which the random walk operator is the cornerstone.
no code implementations • 25 Mar 2016 • Romain Couillet, Gilles Wainrib, Harry Sevi, Hafiz Tiomoko Ali
In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks.