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. 2205.07852
  4. Cited By
REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum
  Dynamics

REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics

5 May 2022
Mario Lino
Stati Fotiadis
Anil A. Bharath
C. Cantwell
    AI4CE
ArXivPDFHTML

Papers citing "REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics"

3 / 3 papers shown
Title
On the Relationships between Graph Neural Networks for the Simulation of
  Physical Systems and Classical Numerical Methods
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods
Artur P. Toshev
Ludger Paehler
A. Panizza
Nikolaus A. Adams
AI4CE
PINN
11
5
0
31 Mar 2023
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation
  Learning
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning
Siyi Li
Mingrui Zhang
M. Piggott
20
27
0
24 Nov 2022
Directional Message Passing on Molecular Graphs via Synthetic
  Coordinates
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
Johannes Klicpera
Chandan Yeshwanth
Stephan Günnemann
33
35
0
08 Nov 2021
1