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MultiScale MeshGraphNets

MultiScale MeshGraphNets

2 October 2022
Meire Fortunato
Tobias Pfaff
Peter Wirnsberger
Alexander Pritzel
Peter W. Battaglia
    AI4CE
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Papers citing "MultiScale MeshGraphNets"

46 / 46 papers shown
Title
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Giovanni Catalani
Michaël Bauerheim
Frédéric Tost
Xavier Bertrand
Joseph Morlier
AI4CE
47
0
0
24 Apr 2025
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Extended Short- and Long-Range Mesh Learning for Fast and Generalized Garment Simulation
Aoran Liu
Kun Hu
Clinton Mo
C. Li
Zhiyong Wang
3DH
AI4CE
36
0
0
16 Apr 2025
Towards scientific machine learning for granular material simulations -- challenges and opportunities
Towards scientific machine learning for granular material simulations -- challenges and opportunities
Marc Fransen
Andreas Fürst
D. Tunuguntla
Daniel N. Wilke
Benedikt Alkin
...
Takayuki Shuku
WaiChing Sun
T. Weinhart
Dongwei Ye
Hongyang Cheng
AI4CE
26
0
0
01 Apr 2025
Data-driven modeling of fluid flow around rotating structures with graph neural networks
Data-driven modeling of fluid flow around rotating structures with graph neural networks
Rui Gao
Zhi Cheng
R. Jaiman
AI4CE
44
0
0
28 Mar 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Mario Lino
Tobias Pfaff
Nils Thuerey
DiffM
AI4CE
31
3
0
19 Mar 2025
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components
Haoran Li
Yingxue Zhao
Haosu Zhou
Tobias Pfaff
Nan Li
36
0
0
16 Mar 2025
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph
  Neural Network
Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network
Yuxuan Gu
Catherine Spurin
Gege Wen
AI4CE
71
0
0
21 Nov 2024
Discovering Message Passing Hierarchies for Mesh-Based Physics
  Simulation
Discovering Message Passing Hierarchies for Mesh-Based Physics Simulation
Huayu Deng
Xiangming Zhu
Yunbo Wang
Xiaokang Yang
PINN
AI4CE
24
0
0
03 Oct 2024
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based
  Data-driven Modeling
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling
Shivam Barwey
Riccardo Balin
Bethany Lusch
Saumil Patel
Ramesh Balakrishnan
Pinaki Pal
R. Maulik
V. Vishwanath
GNN
AI4CE
18
1
0
02 Oct 2024
Structure-Preserving Operator Learning
Structure-Preserving Operator Learning
Nacime Bouziani
Nicolas Boullé
25
0
0
01 Oct 2024
Multi-Grid Graph Neural Networks with Self-Attention for Computational
  Mechanics
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
Paul Garnier
J. Viquerat
E. Hachem
AI4CE
19
0
0
18 Sep 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks
Shivam Barwey
Pinaki Pal
Saumil Patel
Riccardo Balin
Bethany Lusch
V. Vishwanath
R. Maulik
R. Balakrishnan
AI4CE
96
0
0
12 Sep 2024
Generalization capabilities of MeshGraphNets to unseen geometries for
  fluid dynamics
Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics
Robin Schmöcker
Alexander Henkes
Julian Roth
Thomas Wick
AI4CE
19
1
0
12 Aug 2024
AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for
  Incompressible, Low-Speed Bluff Body Aerodynamics
AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics
Neil Ashton
Danielle C. Maddix
Samuel Gundry
Parisa M. Shabestari
AI4CE
38
2
0
30 Jul 2024
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations
Giovanni Catalani
Siddhant Agarwal
Xavier Bertrand
Frédéric Tost
Michaël Bauerheim
Joseph Morlier
AI4CE
30
4
0
29 Jul 2024
Comparing and Contrasting Deep Learning Weather Prediction Backbones on
  Navier-Stokes and Atmospheric Dynamics
Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
Matthias Karlbauer
Danielle C. Maddix
Abdul Fatir Ansari
Boran Han
Gaurav Gupta
Yuyang Wang
Andrew Stuart
Michael W. Mahoney
AI4TS
42
1
0
19 Jul 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly
  Sparse Graphs
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs
Hrishikesh Viswanath
Yue Chang
Julius Berner
Peter Yichen Chen
Aniket Bera
AI4CE
58
2
0
04 Jul 2024
A Manifold Perspective on the Statistical Generalization of Graph Neural
  Networks
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
AI4CE
GNN
26
5
0
07 Jun 2024
A Comparative Study of Garment Draping Techniques
A Comparative Study of Garment Draping Techniques
Prerana Achar
Mayank Patel
Anushka Mulik
Neha Katre
Stevina Dias
Chirag Raman
AI4CE
3DH
62
1
0
17 May 2024
Object Dynamics Modeling with Hierarchical Point Cloud-based
  Representations
Object Dynamics Modeling with Hierarchical Point Cloud-based Representations
Chanho Kim
Fuxin Li
AI4CE
3DPC
29
0
0
09 Apr 2024
A Microstructure-based Graph Neural Network for Accelerating Multiscale
  Simulations
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations
J. Storm
I. Rocha
F. P. Meer
AI4CE
41
2
0
20 Feb 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash
  Simulations Using Graph Convolutional Neural Networks
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks
Jonas Kneifl
Jörg Fehr
Steven L. Brunton
J. Nathan Kutz
AI4CE
22
1
0
14 Feb 2024
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh
  Transformer
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
Youn-Yeol Yu
Jeongwhan Choi
Woojin Cho
Kookjin Lee
Nayong Kim
...
Ilho Kim
Seok-Woo Lee
Joon Young Yang
S. Yoon
Noseong Park
AI4CE
10
6
0
19 Dec 2023
Physics-guided Shape-from-Template: Monocular Video Perception through
  Neural Surrogate Models
Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models
David Stotko
Nils Wandel
Reinhard Klein
29
4
0
21 Nov 2023
Latent Task-Specific Graph Network Simulators
Latent Task-Specific Graph Network Simulators
Philipp Dahlinger
Niklas Freymuth
Michael Volpp
Tai Hoang
Gerhard Neumann
AI4CE
14
0
0
09 Nov 2023
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks
Chuanbo Hua
Federico Berto
Michael Poli
Stefano Massaroli
Jinkyoo Park
AI4TS
AI4CE
11
2
0
25 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
18
9
0
08 Oct 2023
Graph-based Neural Weather Prediction for Limited Area Modeling
Graph-based Neural Weather Prediction for Limited Area Modeling
Leo Feng
Tomas Landelius
Yoshua Bengio
AI4CE
17
10
0
29 Sep 2023
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Stefania Costantini
Gianluca Galletti
Fabian Fritz
Stefan Adami
Nikolaus A. Adams
30
13
0
28 Sep 2023
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes
Multi-GPU Approach for Training of Graph ML Models on large CFD Meshes
Sebastian Strönisch
Maximilian Sander
A. Knüpfer
M. Meyer
AI4CE
9
8
0
25 Jul 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for
  regression of physical problems under non-parameterized geometrical
  variability
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability
F. Casenave
B. Staber
Xavier Roynard
AI4CE
19
13
0
22 May 2023
A graph convolutional autoencoder approach to model order reduction for
  parametrized PDEs
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs
F. Pichi
B. Moya
J. Hesthaven
AI4CE
28
51
0
15 May 2023
Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph
  Convolutional Networks
Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks
Shota Hattori
Tatsuya Yatagawa
Y. Ohtake
H. Suzuki
SSL
AI4CE
3DPC
11
1
0
01 May 2023
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Niklas Freymuth
Philipp Dahlinger
Tobias Würth
Simon Reisch
Luise Kärger
Gerhard Neumann
10
11
0
03 Apr 2023
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates
  for Mesh Physics
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Brian Bartoldson
Yeping Hu
Amarjeet Saini
Jose Cadena
Yu-Hang Fu
Jie Bao
Zhijie Xu
Brenda Ng
P. Nguyen
AI4CE
11
2
0
01 Apr 2023
GNN-based physics solver for time-independent PDEs
GNN-based physics solver for time-independent PDEs
R. J. Gladstone
H. Rahmani
V. Suryakumar
Hadi Meidani
M. DÉlia
A. Zareei
AI4CE
20
15
0
28 Mar 2023
Grounding Graph Network Simulators using Physical Sensor Observations
Grounding Graph Network Simulators using Physical Sensor Observations
Jonas Linkerhägner
Niklas Freymuth
Paul Maria Scheikl
F. Mathis-Ullrich
Gerhard Neumann
AI4CE
14
11
0
23 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable
  Scientific Machine Learning
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning
Shivam Barwey
Varun Shankar
V. Viswanathan
R. Maulik
AI4CE
25
20
0
13 Feb 2023
PhysGraph: Physics-Based Integration Using Graph Neural Networks
PhysGraph: Physics-Based Integration Using Graph Neural Networks
Oshri Halimi
E.T Larionov
Zohar Barzelay
Philipp Herholz
Tuur Stuyck
PINN
OOD
AI4CE
8
3
0
27 Jan 2023
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain
  Decomposition Methods
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
Ali Taghibakhshi
Nicolas Nytko
Tareq Uz Zaman
S. MacLachlan
Luke N. Olson
Matthew West
AI4CE
11
9
0
26 Jan 2023
A Finite Element-Inspired Hypergraph Neural Network: Application to
  Fluid Dynamics Simulations
A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
Rui Gao
Indu Kant Deo
R. Jaiman
AI4CE
14
19
0
30 Dec 2022
GraphCast: Learning skillful medium-range global weather forecasting
GraphCast: Learning skillful medium-range global weather forecasting
Rémi R. Lam
Alvaro Sanchez-Gonzalez
Matthew Willson
Peter Wirnsberger
Meire Fortunato
...
Oriol Vinyals
Jacklynn Stott
Alexander Pritzel
S. Mohamed
Peter W. Battaglia
AI4Cl
10
270
0
24 Dec 2022
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
Artur Grigorev
B. Thomaszewski
Michael J. Black
Otmar Hilliges
3DH
AI4CE
19
55
0
14 Dec 2022
FO-PINNs: A First-Order formulation for Physics Informed Neural Networks
FO-PINNs: A First-Order formulation for Physics Informed Neural Networks
R. J. Gladstone
M. A. Nabian
N. Sukumar
Ankit Srivastava
Hadi Meidani
PINN
AI4CE
19
0
0
25 Oct 2022
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Yadi Cao
Menglei Chai
Minchen Li
Chenfanfu Jiang
AI4CE
16
18
0
05 Oct 2022
Learning ground states of quantum Hamiltonians with graph networks
Learning ground states of quantum Hamiltonians with graph networks
Dmitrii Kochkov
Tobias Pfaff
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
B. Clark
39
26
0
12 Oct 2021
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