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Analysis and algorithms for $\ell_p$-based semi-supervised learning on
  graphs
v1v2v3v4 (latest)

Analysis and algorithms for ℓp\ell_pℓp​-based semi-supervised learning on graphs

15 January 2019
Mauricio Flores
Jeff Calder
Gilad Lerman
ArXiv (abs)PDFHTML

Papers citing "Analysis and algorithms for $\ell_p$-based semi-supervised learning on graphs"

14 / 14 papers shown
Title
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised
  Learning
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning
Hamed Gholipour
Farid Bozorgnia
Kailash A. Hambarde
Hamzeh Mohammadigheymasi
Javier Mancilla
André Sequeira
Joao Neves
Hugo Proença
69
0
0
10 Aug 2024
Numerical solution of a PDE arising from prediction with expert advice
Numerical solution of a PDE arising from prediction with expert advice
Jeff Calder
Nadejda Drenska
Drisana Mosaphir
89
0
0
09 Jun 2024
Consistency of semi-supervised learning, stochastic tug-of-war games,
  and the p-Laplacian
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian
Jeff Calder
Nadejda Drenska
69
3
0
15 Jan 2024
Consistency of Fractional Graph-Laplacian Regularization in
  Semi-Supervised Learning with Finite Labels
Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels
Adrien Weihs
Matthew Thorpe
59
3
0
14 Mar 2023
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by
  Coordinate Descent
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent
Sara Venturini
Andrea Cristofari
Francesco Rinaldi
Francesco Tudisco
58
2
0
28 Jan 2023
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
62
3
0
22 Jun 2022
Graph-based Active Learning for Semi-supervised Classification of SAR
  Data
Graph-based Active Learning for Semi-supervised Classification of SAR Data
Kevin Miller
John Mauro
Jason Setiadi
Xoaquin Baca
Zhan Shi
Jeff Calder
Andrea L. Bertozzi
64
22
0
31 Mar 2022
Hamilton-Jacobi equations on graphs with applications to semi-supervised
  learning and data depth
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth
Jeff Calder
Mahmood Ettehad
99
16
0
17 Feb 2022
Uniform Convergence Rates for Lipschitz Learning on Graphs
Uniform Convergence Rates for Lipschitz Learning on Graphs
Leon Bungert
Jeff Calder
Tim Roith
82
21
0
24 Nov 2021
Lipschitz regularity of graph Laplacians on random data clouds
Lipschitz regularity of graph Laplacians on random data clouds
Jeff Calder
Nicolas García Trillos
M. Lewicka
63
31
0
13 Jul 2020
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label
  Rates
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
Jeff Calder
Brendan Cook
Matthew Thorpe
D. Slepčev
79
84
0
19 Jun 2020
Rates of Convergence for Laplacian Semi-Supervised Learning with Low
  Labeling Rates
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates
Jeff Calder
D. Slepčev
Matthew Thorpe
59
28
0
04 Jun 2020
A continuum limit for the PageRank algorithm
A continuum limit for the PageRank algorithm
Amber Yuan
Jeff Calder
Braxton Osting
79
19
0
24 Jan 2020
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds
PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds
Oliver M. Crook
Tim Hurst
Carola-Bibiane Schönlieb
Matthew Thorpe
K. Zygalakis
3DPC
32
2
0
23 Sep 2019
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