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Helmholtzian Eigenmap: Topological feature discovery & edge flow
  learning from point cloud data
v1v2v3 (latest)

Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data

13 March 2021
Yu-Chia Chen
Weicheng Wu
M. Meilă
Ioannis G. Kevrekidis
ArXiv (abs)PDFHTML

Papers citing "Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data"

7 / 7 papers shown
Title
Graph-based Semi-Supervised & Active Learning for Edge Flows
Graph-based Semi-Supervised & Active Learning for Edge Flows
Junteng Jia
Michael T. Schaub
Santiago Segarra
Austin R. Benson
110
77
0
17 May 2019
An introduction to Topological Data Analysis: fundamental and practical
  aspects for data scientists
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal
Bertrand Michel
105
597
0
11 Oct 2017
Improved graph Laplacian via geometric self-consistency
Improved graph Laplacian via geometric self-consistency
Dominique C. Perrault-Joncas
M. Meilă
56
18
0
31 May 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
406
33,573
0
16 Oct 2013
Vector Diffusion Maps and the Connection Laplacian
Vector Diffusion Maps and the Connection Laplacian
A. Singer
Hau-Tieng Wu
95
310
0
01 Feb 2011
An Analysis of the Convergence of Graph Laplacians
An Analysis of the Convergence of Graph Laplacians
Daniel Ting
Ling Huang
Michael I. Jordan
99
145
0
28 Jan 2011
Statistical ranking and combinatorial Hodge theory
Statistical ranking and combinatorial Hodge theory
Xiaoye Jiang
Lek-Heng Lim
Yuan Yao
Yinyu Ye
121
372
0
07 Nov 2008
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