Note: Please refer to the original BWGNN code published at https://github.com/squareRoot3/Rethinking-Anomaly-Detection. In this paper, we have adapted it into our ...

A plot of the rescaled eigenvalue spectrum of horizontal visibility graphs in the Feigenbaum scenario. (Courtesy: J. Phys. A: Math. Theor. 10.1088/1751-8121/ab587f) By means of the so-called ...

Abstract: Spectral graph theory is the study of the eigenvalues and eigenvectors of matrices associated with graphs. In this tutorial, we will try to provide some intuition as to why these ...

Further, we propose a framework that integrates the dynamically captured spectra in the form of these learnable wavelets into spatial features for incorporating local and global interactions.

There was an error while loading. Please reload this page. This project explores spectral decomposition techniques for network analysis, integrating complex diffusion ...

Abstract: With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...

The Annals of Applied Probability, Vol. 16, No. 1 (Feb., 2006), pp. 295-309 (15 pages) We consider the discrete Laplace operator $\Delta ^{(N)}$ on Erdős-Rényi random graphs with N vertices and edge ...