Cover Image

An Efficient Graph-Transformer Operator for Learning Physical Dynamics with Manifolds Embedding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Pengwei, Ren, Xingyu, Wang, Pengkai, Yuan, Hangjie, Hao, Zhongkai, Chen, Guanyu, Xu, Chao, Ni, Dong, Cai, Shengze
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PAPM: A Physics-aware Proxy Model for Process Systems
by: Liu, Pengwei, et al.
Published: (2024)

Physics-Enforced Neural Ordinary Differential Equation for Chemical Kinetics Optimization in Reaction-Diffusion Systems
by: Cai, Feixue, et al.
Published: (2026)

Adaptive Coordinate Transforms for Neural Operators
by: Liu, Chaoyu, et al.
Published: (2026)

A 99-Line Homogenization Code for Lattice-skin Plate Structures
by: Ji, Zhongkai, et al.
Published: (2026)

Neural Preconditioning Operator for Efficient PDE Solves
by: Li, Zhihao, et al.
Published: (2025)

Constitutive Manifold Neural Networks
by: Schuttert, Wouter J., et al.
Published: (2025)

RoadFed: A Multimodal Federated Learning System for Improving Road Safety
by: Yuan, Yachao, et al.
Published: (2025)

Enforcing the Principle of Locality for Physical Simulations with Neural Operators
by: Chen, Jiangce, et al.
Published: (2024)

EXFormer: A Multi-Scale Trend-Aware Transformer with Dynamic Variable Selection for Foreign Exchange Returns Prediction
by: Liu, Dinggao, et al.
Published: (2025)

Networked Markets, Fragmented Data: Adaptive Graph Learning for Customer Risk Analytics and Policy Design
by: Zheng, Lecheng, et al.
Published: (2025)

Early-Warning Learner Satisfaction Forecasting in MOOCs via Temporal Event Transformers and LLM Text Embeddings
by: Kowalczyk, Anna, et al.
Published: (2026)

Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
by: Jian, Xudong, et al.
Published: (2024)

A Dynamic Energy-Based Hysteresis Model for Pulsed-Operated Fast-Ramping Magnets
by: Moll, Dominik, et al.
Published: (2025)

GrifFinNet: A Graph-Relation Integrated Transformer for Financial Predictions
by: Dai, Chenlanhui, et al.
Published: (2025)

An Efficient PGD Solver for Structural Dynamics Applications
by: Vella, Clément, et al.
Published: (2024)

Energy-Efficient Robust Beamforming for Multi-Functional RIS-Aided Wireless Communication under Imperfect CSI
by: Zheng, Ailing, et al.
Published: (2024)

Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics
by: Chen, Zijun, et al.
Published: (2024)

Graph Multi-Similarity Learning for Molecular Property Prediction
by: Xu, Hao, et al.
Published: (2024)

LRQ-Solver: A Transformer-Based Neural Operator for Fast and Accurate Solving of Large-scale 3D PDEs
by: Zeng, Peijian, et al.
Published: (2025)

Physics-guided diffusion models for inverse design of disordered metamaterials
by: Xie, Ziyuan, et al.
Published: (2026)

Fourier Neural Operators for Structural Dynamics Models: Challenges, Limitations and Advantages of Using a Spectrogram Loss
by: Haghi, Rad, et al.
Published: (2025)

Physics-Informed Transformer for Real-Time High-Fidelity Topology Optimization
by: Lutheran, Aaron, et al.
Published: (2026)

Modal Decomposition and Identification for a Population of Structures Using Physics-Informed Graph Neural Networks and Transformers
by: Jian, Xudong, et al.
Published: (2025)

A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
by: Hu, Linyue, et al.
Published: (2025)

Text2Structure3D: Graph-Based Generative Modeling of Equilibrium Structures with Diffusion Transformers
by: Bleker, Lazlo, et al.
Published: (2026)

Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting
by: Zheng, Zinan, et al.
Published: (2025)

An Efficient Transient Nonlinear Circuit Simulator Using Exponential Integration and Block-Jacobi Precondition
by: Zhang, Zijian, et al.
Published: (2025)

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion
by: Li, Ruikun, et al.
Published: (2025)

Towards Real-time Structural Dynamics Simulation with Graph-based Digital Twin Modelling
by: Zhang, Jun, et al.
Published: (2025)

Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs
by: Rezaei, Shahed, et al.
Published: (2024)

IVE: Enhanced Probabilistic Forecasting of Intraday Volume Ratio with Transformers
by: Lee, Hanwool, et al.
Published: (2024)

Physics-Informed Machine Learning for Battery Degradation Diagnostics: A Comparison of State-of-the-Art Methods
by: Navidi, Sina, et al.
Published: (2024)

Discovering Physical Directions in Weight Space: Composing Neural PDE Experts
by: Wang, Pengkai, et al.
Published: (2026)

A Physics-Aware Variational Graph Autoencoder for Joint Modal Identification with Uncertainty Quantification
by: Nath, Bhargav, et al.
Published: (2026)

DeTEcT: Dynamic and Probabilistic Parameters Extension
by: Sadykhov, Rem, et al.
Published: (2024)

Transforming Japan Real Estate
by: Haque, Diabul
Published: (2024)

Extremal Structures with Embedded Pre-Failure Indicators
by: Christensen, Christoffer Fyllgraf, et al.
Published: (2024)

Physics-informed Partitioned Coupled Neural Operator for Complex Networks
by: Wu, Weidong, et al.
Published: (2024)

Real-time generative design of diverse, "truly" optimized structures with controllable structural complexities
by: Du, Zongliang, et al.
Published: (2024)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)