Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2210.00612
Cited By
MultiScale MeshGraphNets
2 October 2022
Meire Fortunato
Tobias Pfaff
Peter Wirnsberger
Alexander Pritzel
Peter W. Battaglia
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"MultiScale MeshGraphNets"
46 / 46 papers shown
Title
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
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
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
Rui Gao
Zhi Cheng
R. Jaiman
AI4CE
44
0
0
28 Mar 2025
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
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
Yuxuan Gu
Catherine Spurin
Gege Wen
AI4CE
71
0
0
21 Nov 2024
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
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
Nacime Bouziani
Nicolas Boullé
25
0
0
01 Oct 2024
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
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
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
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
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
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
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
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
AI4CE
GNN
26
5
0
07 Jun 2024
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
Chanho Kim
Fuxin Li
AI4CE
3DPC
29
0
0
09 Apr 2024
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
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
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
David Stotko
Nils Wandel
Reinhard Klein
29
4
0
21 Nov 2023
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
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
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
Leo Feng
Tomas Landelius
Yoshua Bengio
AI4CE
17
10
0
29 Sep 2023
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
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
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
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
Shota Hattori
Tatsuya Yatagawa
Y. Ohtake
H. Suzuki
SSL
AI4CE
3DPC
11
1
0
01 May 2023
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
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
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
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
Shivam Barwey
Varun Shankar
V. Viswanathan
R. Maulik
AI4CE
25
20
0
13 Feb 2023
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
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
Rui Gao
Indu Kant Deo
R. Jaiman
AI4CE
14
19
0
30 Dec 2022
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
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
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
Yadi Cao
Menglei Chai
Minchen Li
Chenfanfu Jiang
AI4CE
16
18
0
05 Oct 2022
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
1