Root Laplacian Eigenmaps with their application in spectral embedding
Differential Geometry
2023-02-07 v1 Machine Learning
Abstract
The root laplacian operator or the square root of Laplacian which can be obtained in complete Riemannian manifolds in the Gromov sense has an analog in graph theory as a square root of graph-Laplacian. Some potential applications have been shown in geometric deep learning (spectral clustering) and graph signal processing.
Keywords
Cite
@article{arxiv.2302.02731,
title = {Root Laplacian Eigenmaps with their application in spectral embedding},
author = {Shouvik Datta Choudhury},
journal= {arXiv preprint arXiv:2302.02731},
year = {2023}
}
Comments
21 pages,4 figures