ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.07626
  4. Cited By
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)PDFHTMLGithub

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

5 / 5 papers shown
Multiscale Hodge Scattering Networks for Data Analysis
Multiscale Hodge Scattering Networks for Data Analysis
Naoki Saito
Stefan C. Schonsheck
Eugene Shvarts
368
2
0
17 Nov 2023
Hodge-Compositional Edge Gaussian Processes
Hodge-Compositional Edge Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Maosheng Yang
Viacheslav Borovitskiy
Elvin Isufi
480
16
0
30 Oct 2023
Generalized Spectral Coarsening
Generalized Spectral Coarsening
A. Keros
Kartic Subr
278
0
0
04 Jul 2022
The decomposition of the higher-order homology embedding constructed
  from the $k$-Laplacian
The decomposition of the higher-order homology embedding constructed from the kkk-LaplacianNeural Information Processing Systems (NeurIPS), 2021
Yu-Chia Chen
M. Meilă
454
11
0
23 Jul 2021
What are higher-order networks?
What are higher-order networks?SIAM Review (SIAM Rev.), 2021
C. Bick
Elizabeth Gross
Heather A. Harrington
Michael T. Schaub
586
453
0
20 Apr 2021
1
Page 1 of 1