ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.10940
  4. Cited By
Functional Maps Representation on Product Manifolds

Functional Maps Representation on Product Manifolds

28 September 2018
Emanuele Rodolà
Zorah Lähner
A. Bronstein
M. Bronstein
Justin Solomon
ArXivPDFHTML

Papers citing "Functional Maps Representation on Product Manifolds"

6 / 6 papers shown
Title
DockGame: Cooperative Games for Multimeric Rigid Protein Docking
DockGame: Cooperative Games for Multimeric Rigid Protein Docking
Vignesh Ram Somnath
Pier Giuseppe Sessa
María Rodríguez Martínez
Andreas Krause
42
2
0
09 Oct 2023
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Gabriele Corso
Hannes Stärk
Bowen Jing
Regina Barzilay
Tommi Jaakkola
DiffM
144
412
0
04 Oct 2022
Riemannian Functional Map Synchronization for Probabilistic Partial
  Correspondence in Shape Networks
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks
Faria Huq
Adrish Dey
Sahra Yusuf
Dena Bazazian
Tolga Birdal
Nina Miolane
51
1
0
29 Nov 2021
Unsupervised Dense Shape Correspondence using Heat Kernels
Unsupervised Dense Shape Correspondence using Heat Kernels
Mehmet Aygün
Zorah Lähner
Daniel Cremers
50
15
0
23 Oct 2020
Product Manifold Learning
Product Manifold Learning
Sharon Zhang
Amit Moscovich
A. Singer
44
14
0
19 Oct 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,246
0
24 Nov 2016
1