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Multipole Graph Neural Operator for Parametric Partial Differential
  Equations

Multipole Graph Neural Operator for Parametric Partial Differential Equations

16 June 2020
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
    AI4CE
ArXivPDFHTML

Papers citing "Multipole Graph Neural Operator for Parametric Partial Differential Equations"

50 / 225 papers shown
Title
Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
Gianluca Fabiani
H. Vandecasteele
S. Goswami
Constantinos Siettos
Ioannis G. Kevrekidis
118
0
0
05 May 2025
Neural operators struggle to learn complex PDEs in pedestrian mobility: Hughes model case study
Neural operators struggle to learn complex PDEs in pedestrian mobility: Hughes model case study
Prajwal Chauhan
Salah Eddine Choutri
Mohamed Ghattassi
Nader Masmoudi
Saif Eddin Jabari
39
0
0
25 Apr 2025
PODNO: Proper Orthogonal Decomposition Neural Operators
PODNO: Proper Orthogonal Decomposition Neural Operators
Zilan Cheng
Zhongjian Wang
Li-Lian Wang
Mejdi Azaiez
34
0
0
25 Apr 2025
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs
Integrating Locality-Aware Attention with Transformers for General Geometry PDEs
Minsu Koh
Beom-Chul Park
Heejo Kong
Seong-Whan Lee
AI4CE
37
0
0
18 Apr 2025
DUE: A Deep Learning Framework and Library for Modeling Unknown Equations
DUE: A Deep Learning Framework and Library for Modeling Unknown Equations
Junfeng Chen
Kailiang Wu
D. Xiu
20
0
0
14 Apr 2025
Learning Dual-Arm Coordination for Grasping Large Flat Objects
Learning Dual-Arm Coordination for Grasping Large Flat Objects
Yongliang Wang
H. Kasaei
32
0
0
04 Apr 2025
Generative Latent Neural PDE Solver using Flow Matching
Generative Latent Neural PDE Solver using Flow Matching
Zijie Li
Anthony Y. Zhou
Amir Barati Farimani
DiffM
AI4CE
72
0
0
28 Mar 2025
HyperNOs: Automated and Parallel Library for Neural Operators Research
HyperNOs: Automated and Parallel Library for Neural Operators Research
Massimiliano Ghiotto
46
0
0
23 Mar 2025
Fourier Neural Operator based surrogates for $CO_2$ storage in realistic geologies
Fourier Neural Operator based surrogates for CO2CO_2CO2​ storage in realistic geologies
Anirban Chandra
Marius Koch
Suraj Pawar
Aniruddha Panda
Kamyar Azizzadenesheli
...
Farah Hariri
Clement Etienam
Pandu Devarakota
Anima Anandkumar
Detlef Hohl
AI4CE
53
3
0
14 Mar 2025
HessianForge: Scalable LiDAR reconstruction with Physics-Informed Neural Representation and Smoothness Energy Constraints
Hrishikesh Viswanath
Md Ashiqur Rahman
Chi Lin
Damon Conover
Aniket Bera
68
0
0
11 Mar 2025
Data-Driven Probabilistic Air-Sea Flux Parameterization
Jiarong Wu
Pavel Perezhogin
D. Gagne
Brandon Reichl
Aneesh C. Subramanian
Elizabeth Thompson
Laure Zanna
39
0
0
06 Mar 2025
Finite Element Operator Network for Solving Elliptic-type parametric PDEs
Finite Element Operator Network for Solving Elliptic-type parametric PDEs
Jae Yong Lee
Seungchan Ko
Youngjoon Hong
105
5
0
20 Feb 2025
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
Rishikesh Ranade
M. A. Nabian
Kaustubh Tangsali
Alexey Kamenev
O. Hennigh
Ram Cherukuri
S. Choudhry
AI4CE
86
2
0
23 Jan 2025
Orthogonal greedy algorithm for linear operator learning with shallow neural network
Ye Lin
Jiwei Jia
Young Ju Lee
Ran Zhang
34
1
0
06 Jan 2025
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation
  Model
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model
Yuqiu Liu
Jingxuan Xu
Mauricio Soroco
Yunchao Wei
Wuyang Chen
AI4CE
84
2
0
18 Dec 2024
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems
Sumanth Kumar Boya
Deepak Subramani
AI4CE
94
0
0
12 Dec 2024
Advancing Generalization in PINNs through Latent-Space Representations
Advancing Generalization in PINNs through Latent-Space Representations
Honghui Wang
Yifan Pu
Shiji Song
Gao Huang
AI4CE
PINN
64
0
0
28 Nov 2024
On the Boundary Feasibility for PDE Control with Neural Operators
On the Boundary Feasibility for PDE Control with Neural Operators
Hanjiang Hu
Changliu Liu
AI4CE
72
1
0
23 Nov 2024
LE-PDE++: Mamba for accelerating PDEs Simulations
LE-PDE++: Mamba for accelerating PDEs Simulations
Aoming Liang
Zhaoyang Mu
Qi liu
Ruipeng Li
Mingming Ge
Dixia Fan
AI4CE
32
0
0
04 Nov 2024
SEA: State-Exchange Attention for High-Fidelity Physics Based
  Transformers
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers
Parsa Esmati
Amirhossein Dadashzadeh
Vahid Goodarzi
Nicolas Larrosa
Nicolo Grilli
27
0
0
20 Oct 2024
Exploring the design space of deep-learning-based weather forecasting
  systems
Exploring the design space of deep-learning-based weather forecasting systems
Shoaib Ahmed Siddiqui
Jean Kossaifi
Boris Bonev
Christopher Choy
Jan Kautz
David M. Krueger
Kamyar Azizzadenesheli
AI4CE
OOD
20
3
0
09 Oct 2024
Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear
  Diffusive Parametric PDEs on Multiple Domains
Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains
Shane E. Loeffler
Zan Ahmad
Syed Yusuf Ali
Carolyna Yamamoto
D. Popescu
Alana Yee
Yash Lal
Natalia A. Trayanova
Mauro Maggioni
36
2
0
06 Oct 2024
Disentangled Representation Learning for Parametric Partial Differential
  Equations
Disentangled Representation Learning for Parametric Partial Differential Equations
Ning Liu
Lu Zhang
Tian Gao
Yue Yu
DRL
AI4CE
44
0
0
03 Oct 2024
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
Leonardo Ferreira Guilhoto
P. Perdikaris
40
7
0
02 Oct 2024
Structure-Preserving Operator Learning
Structure-Preserving Operator Learning
Nacime Bouziani
Nicolas Boullé
25
0
0
01 Oct 2024
Spatiotemporal Learning on Cell-embedded Graphs
Spatiotemporal Learning on Cell-embedded Graphs
Yuan Mi
Hao Sun
41
1
0
26 Sep 2024
Rational-WENO: A lightweight, physically-consistent three-point weighted
  essentially non-oscillatory scheme
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
S. Shahane
Sheide Chammas
Deniz A. Bezgin
Aaron B. Buhendwa
Steffen J. Schmidt
...
Spencer H. Bryngelson
Yi-Fan Chen
Qing Wang
Fei Sha
Leonardo Zepeda-Núnez
33
1
0
13 Sep 2024
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical
  Systems
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
Fu Lin
Jiasheng Shi
Shijie Luo
Qinpei Zhao
Weixiong Rao
Lei Chen
AI4CE
27
0
0
07 Sep 2024
Harnessing physics-informed operators for high-dimensional reliability
  analysis problems
Harnessing physics-informed operators for high-dimensional reliability analysis problems
N Navaneeth
Tushar
Souvik Chakraborty
AI4CE
32
0
0
07 Sep 2024
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical
  simulations in computational cardiology
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
Matteo Salvador
Alison L. Marsden
AI4CE
27
1
0
19 Aug 2024
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards
  Interpretable Physics Discovery
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
Yue Yu
Ning Liu
Fei Lu
Tian Gao
S. Jafarzadeh
Stewart Silling
AI4CE
45
7
0
14 Aug 2024
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous
  Beams
DeepNetBeam: A Framework for the Analysis of Functionally Graded Porous Beams
M. Eshaghi
M. Bamdad
C. Anitescu
Yizheng Wang
X. Zhuang
Timon Rabczuk
AI4CE
29
7
0
04 Aug 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
54
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
Green Multigrid Network
Green Multigrid Network
Ye Lin
Young Ju Lee
Jiwei Jia
21
1
0
04 Jul 2024
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient,
  Geometrically-flexible Operator Learning
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning
Matthew Lowery
John Turnage
Zachary Morrow
J. Jakeman
Akil Narayan
Shandian Zhe
Varun Shankar
41
1
0
30 Jun 2024
Advection Augmented Convolutional Neural Networks
Advection Augmented Convolutional Neural Networks
N. Zakariaei
Siddharth Rout
Eldad Haber
Moshe Eliasof
AI4TS
18
2
0
27 Jun 2024
Graph Neural Reaction Diffusion Models
Graph Neural Reaction Diffusion Models
Moshe Eliasof
Eldad Haber
Eran Treister
DiffM
AI4CE
35
2
0
16 Jun 2024
DeltaPhi: Learning Physical Trajectory Residual for PDE Solving
DeltaPhi: Learning Physical Trajectory Residual for PDE Solving
Xihang Yue
Linchao Zhu
Yi Yang
AI4CE
34
1
0
14 Jun 2024
RandONet: Shallow-Networks with Random Projections for learning linear
  and nonlinear operators
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators
Gianluca Fabiani
Ioannis G. Kevrekidis
Constantinos Siettos
A. Yannacopoulos
22
11
0
08 Jun 2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
Emilia Magnani
Marvin Pfortner
Tobias Weber
Philipp Hennig
UQCV
63
1
0
07 Jun 2024
M2NO: Multiresolution Operator Learning with Multiwavelet-based
  Algebraic Multigrid Method
M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method
Zhihao Li
Zhilu Lai
Xiaobo Wang
Wei Wang
21
3
0
07 Jun 2024
Neural Green's Operators for Parametric Partial Differential Equations
Neural Green's Operators for Parametric Partial Differential Equations
Hugo Melchers
Joost Prins
Michael Abdelmalik
50
3
0
04 Jun 2024
Ensemble Deep Random Vector Functional Link Neural Network Based on
  Fuzzy Inference System
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System
M. Sajid
M. Tanveer
Ponnuthurai Nagaratnam Suganthan
29
5
0
02 Jun 2024
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Ramansh Sharma
Varun Shankar
48
0
0
20 May 2024
Positional Knowledge is All You Need: Position-induced Transformer (PiT)
  for Operator Learning
Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
Junfeng Chen
Kailiang Wu
27
3
0
15 May 2024
Deep Neural Operator Enabled Digital Twin Modeling for Additive
  Manufacturing
Deep Neural Operator Enabled Digital Twin Modeling for Additive Manufacturing
Ning Liu
Xuxiao Li
M. Rajanna
E. Reutzel
Brady A Sawyer
Prahalada Rao
Jim Lua
Nam Phan
Yue Yu
AI4CE
43
8
0
13 May 2024
GrINd: Grid Interpolation Network for Scattered Observations
GrINd: Grid Interpolation Network for Scattered Observations
Andrzej Dulny
Paul Heinisch
Andreas Hotho
Anna Krause
35
1
0
28 Mar 2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial
  Differential Equations
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang
Jacob Helwig
Yu-Ching Lin
Yaochen Xie
Cong Fu
Stephan Wojtowytsch
Shuiwang Ji
AI4CE
37
6
0
28 Mar 2024
Heterogeneous Peridynamic Neural Operators: Discover Biotissue
  Constitutive Law and Microstructure From Digital Image Correlation
  Measurements
Heterogeneous Peridynamic Neural Operators: Discover Biotissue Constitutive Law and Microstructure From Digital Image Correlation Measurements
S. Jafarzadeh
Stewart Silling
Lu Zhang
Colton J. Ross
Chung-Hao Lee
S. M. R. Rahman
Shuodao Wang
Yue Yu
28
5
0
27 Mar 2024
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