LPGraph (2.1)

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Nonparametric Smoothing of Laplacian Graph Spectra.


A nonparametric method to approximate Laplacian graph spectra of a network with ordered vertices. This provides a computationally efficient algorithm for obtaining an accurate and smooth estimate of the graph Laplacian basis. The approximation results can then be used for tasks like change point detection, k-sample testing, and so on. The primary reference is Mukhopadhyay, S. and Wang, K. (2018, Technical Report).

Maintainer: Kaijun Wang
Author(s): Subhadeep Mukhopadhyay, Kaijun Wang

License: GPL-2

Uses: car, PMA

Released 2 months ago.

2 previous versions



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