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Eigenvectors and eigenvalues of discrete graph Laplacians are often used for manifold learning and nonlinear dimensionality reduction.
The numerical solution of the eigenvalue problem for compact integral operators
K. Atkinson · 1967
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Spectral Graph Theory
F. R. K. Chung · 1997
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The Laplacian on a Riemannian Manifold: An Introduction to Analysis on Manifolds
S. Rosenberg · 1997
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Laplacian eigenmaps for dimensionality reduction and data representation
M. Belkin and P. Niyogi · 2003
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A few notes on statistical learning theory
S. Mendelson · 2003
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Diffusion Maps and Geodesic Harmonics
S. Lafon · 2004
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Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
R. R. Coifman, S. Lafon, A. B. Lee, M. Maggioni, F. Warner, and S. Zucker · 2005
Cited alongside, same era.
Convergence of laplacian eigenmaps
M. Belkin and P. Niyogi · 2007
Cited alongside, same era.
Z. Li, Z. Shi, and J. Sun
Cited in the paper.
Point integral method for elliptic equation with isotropic coefficients with convergence guarantee
Z. Shi
Cited in the paper.
Convergence of laplacian spectra from point clouds
Z. Shi and J. Sun
Cited in the paper.
Z. Shi and J. Sun
Cited in the paper.
Spectral convergence of the connection laplacian from random samples
A. Singer and H. tieng Wu
Cited in the paper.
Global intrinsic symmetries of shapes
M. Ovsjanikov, J. Sun, and L. J. Guibas · 2008
Later among the works it cites.
A spectral notion of Gromov-Wasserstein distances and related methods
F. Mémoli · 2011
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Toward understanding complex spaces: Graph laplacians on manifolds with singularities and boundaries
M. Belkin, Q. Que, Y. Wang, and X. Zhou · 2012
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