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Found 4 papers, 0 papers with code
Clustering for directed graphs using parametrized random walk diffusion kernels
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.
Generalized Spectral Clustering for Directed and Undirected Graphs
In this paper, we present a generalized spectral clustering framework that can address both directed and undirected graphs.
Harmonic analysis on directed graphs and applications: from Fourier analysis to wavelets
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.
The Asymptotic Performance of Linear Echo State Neural Networks
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.
