SpecNet2: Orthogonalization-free spectral embedding by neural networks

SpecNet2: Orthogonalization-free spectral embedding by neural networks

14 June 2022

Ziyu Chen

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Papers citing "SpecNet2: Orthogonalization-free spectral embedding by neural networks"

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Title
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation Xiuyuan Cheng Nan Wu 103 29 0 25 Jan 2021
Scalability and robustness of spectral embedding: landmark diffusion is all you need Chao Shen Hau‐Tieng Wu 72 26 0 03 Jan 2020
$Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples$ Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples David B. Dunson Hau‐Tieng Wu Nan Wu 63 65 0 11 Dec 2019
Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator Nicolas García Trillos Moritz Gerlach Matthias Hein D. Slepčev 113 173 0 30 Jan 2018
Diffusion Nets Zhengchao Wan Uri Shaham Alexander Cloninger Israel Cohen DiffM 69 55 0 25 Jun 2015
Spectral Convergence of the connection Laplacian from random samples A. Singer Hau‐Tieng Wu 101 114 0 07 Jun 2013