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Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation

Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation

Xiuyuan Cheng
Nan Wu
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Papers citing "Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation"

5 / 5 papers shown
Title
The G-invariant graph Laplacian
The G-invariant graph Laplacian
E. Rosen
Paulina Hoyos
Xiuyuan Cheng
Joe Kileel
Y. Shkolnisky
16
1
0
29 Mar 2023
Geometric Scattering on Measure Spaces
Geometric Scattering on Measure Spaces
Joyce A. Chew
M. Hirn
Smita Krishnaswamy
Deanna Needell
Michael Perlmutter
H. Steach
Siddharth Viswanath
Hau‐Tieng Wu
GNN
39
16
0
17 Aug 2022
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise
Xiuyuan Cheng
Boris Landa
25
3
0
22 Jun 2022
SpecNet2: Orthogonalization-free spectral embedding by neural networks
SpecNet2: Orthogonalization-free spectral embedding by neural networks
Ziyu Chen
Yingzhou Li
Xiuyuan Cheng
24
4
0
14 Jun 2022
Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High Dimensions
Data-driven Efficient Solvers for Langevin Dynamics on Manifold in High Dimensions
Yuan Gao
Jiang Liu
Nan Wu
21
12
0
22 May 2020