Root Laplacian Eigenmaps with their application in spectral embedding

Shouvik Datta Choudhury
2/6/2023
math.DGcs.LG

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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.

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Cite this paper

@article{choudhury2023root,
  title  = {Root Laplacian Eigenmaps with their application in spectral embedding},
  author = {Shouvik Datta Choudhury},
  year   = {2023},
  eprint = {2302.02731},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.02731v1}
}

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