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HAMLET: Graph Transformer Neural Operator for Partial Differential
  Equations

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations

5 February 2024
Andrey Bryutkin
Jiahao Huang
Zhongying Deng
Guang Yang
Carola-Bibiane Schönlieb
Angelica E. Avilés-Rivero
ArXivPDFHTML

Papers citing "HAMLET: Graph Transformer Neural Operator for Partial Differential Equations"

13 / 13 papers shown
Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
Ziqiang Liu
Xiaoda Wang
Bohan Wang
Zijie Huang
Carl Yang
Wei-dong Jin
AI4TS
AI4CE
146
1
0
29 Mar 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators
N. Gabriel
N. Johnson
George Em Karniadakis
AI4CE
54
0
0
21 Feb 2025
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
Chun-Wun Cheng
Jiahao Huang
Yi Zhang
Guang Yang
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
Mamba
AI4CE
90
2
0
03 Oct 2024
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations
Vladislav Trifonov
Alexander Rudikov
Oleg Iliev
Ivan V. Oseledets
Ekaterina A. Muravleva
Ekaterina Muravleva
DiffM
AI4CE
33
0
0
07 Jun 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Benedikt Alkin
Andreas Fürst
Simon Schmid
Lukas Gruber
Markus Holzleitner
Johannes Brandstetter
PINN
AI4CE
45
8
0
19 Feb 2024
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
71
80
0
02 Mar 2023
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
62
80
0
08 Sep 2022
Fourier Neural Operator with Learned Deformations for PDEs on General
  Geometries
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries
Zong-Yi Li
Daniel Zhengyu Huang
Burigede Liu
Anima Anandkumar
AI4CE
119
251
0
11 Jul 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed
  Boundary Conditions
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie
Naoto Mitsume
PINN
AI4CE
29
23
0
24 May 2022
Multiwavelet-based Operator Learning for Differential Equations
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta
Xiongye Xiao
P. Bogdan
126
200
0
28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
211
2,287
0
18 Oct 2020
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
280
1,400
0
01 Dec 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
294
75,834
0
18 May 2015
1