Copertina

Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Curtosi, Gabriel, Ruiz, Carlos Manuel Ruiz, Cavaliere, Fabiola, Izcara, Xabier Larráyoz
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computational Engineering, Finance, and Science Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions
di: Deng, Huayu, et al.
Pubblicazione: (2024)

Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes
di: Würth, Tobias, et al.
Pubblicazione: (2024)

A Roadmap for Applying Graph Neural Networks to Numerical Data: Insights from Cementitious Materials
di: Sharmin, Mahmuda, et al.
Pubblicazione: (2025)

Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
di: Wang, Bicheng, et al.
Pubblicazione: (2025)

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling
di: Zeng, Liang, et al.
Pubblicazione: (2021)

Drone Acoustic Analysis for Predicting Psychoacoustic Annoyance via Artificial Neural Networks
di: Vaiuso, Andrea, et al.
Pubblicazione: (2024)

Minimizing the Value-at-Risk of Loan Portfolio via Deep Neural Networks
di: Di Wang, Albert, et al.
Pubblicazione: (2025)

Graph Neural Network-Based Predictive Modeling for Robotic Plaster Printing
di: Rivera, Diego Machain, et al.
Pubblicazione: (2025)

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process
di: Elaarabi, Mouad, et al.
Pubblicazione: (2026)

JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs
di: Ding, Wanying, et al.
Pubblicazione: (2024)

Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems
di: Lin, Fu, et al.
Pubblicazione: (2024)

Towards Autonomous Sustainability Assessment via Multimodal AI Agents
di: Zhang, Zhihan, et al.
Pubblicazione: (2025)

Feature Mapping in Physics-Informed Neural Networks (PINNs)
di: Zeng, Chengxi, et al.
Pubblicazione: (2024)

Towards Universal Mesh Movement Networks
di: Zhang, Mingrui, et al.
Pubblicazione: (2024)

The Finite Element Neural Network Method: One Dimensional Study
di: Abda, Mohammed, et al.
Pubblicazione: (2025)

Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
di: Zhang, Zeyang, et al.
Pubblicazione: (2023)

Direct Learning of Calibration-Aware Uncertainty for Neural PDE Surrogates
di: Brito, Carlos Stein
Pubblicazione: (2026)

Chemical Reaction Neural Networks for Fitting Accelerating Rate Calorimetry Data
di: Bhatnagar, Saakaar, et al.
Pubblicazione: (2024)

Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
di: Zhao, Mengjie, et al.
Pubblicazione: (2024)

Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
di: Lucchetti, Alessandro, et al.
Pubblicazione: (2025)

Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
di: Kim, Jiyeon, et al.
Pubblicazione: (2026)

Unlocking Noisy Real-World Corpora for Foundation Model Pre-Training via Quality-Aware Tokenization
di: Gollwitzer, Arvid E., et al.
Pubblicazione: (2026)

Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
di: Zhu, Mengran, et al.
Pubblicazione: (2024)

Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
di: Szydłowski, Kamil Ł., et al.
Pubblicazione: (2024)

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
di: Zeng, Bocheng, et al.
Pubblicazione: (2024)

Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection
di: Dubey, Vijay K., et al.
Pubblicazione: (2025)

Online Dispatching and Routing for Automated Guided Vehicles in Pickup and Delivery Systems on Loop-Based Graphs
di: Stubbe, Louis, et al.
Pubblicazione: (2023)

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

RAG: A Random-Forest-Based Generative Design Framework for Uncertainty-Aware Design of Metamaterials with Complex Functional Response Requirements
di: Chen, Bolin, et al.
Pubblicazione: (2026)

Newton to Einstein: Axiom-Based Discovery via Game Design
di: Ma, Pingchuan, et al.
Pubblicazione: (2025)

ReVeal-MT: A Physics-Informed Neural Network for Multi-Transmitter Radio Environment Mapping
di: Shahid, Mukaram, et al.
Pubblicazione: (2025)

Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost
di: Zafeiriou, Theodoros, et al.
Pubblicazione: (2024)

Assertion-Aware Test Code Summarization with Large Language Models
di: Mollah, Anamul Haque, et al.
Pubblicazione: (2025)

Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
di: Yu, Youn-Yeol, et al.
Pubblicazione: (2023)

Beyond Isolated Investor: Predicting Startup Success via Roleplay-Based Collective Agents
di: Liu, Zhongyang, et al.
Pubblicazione: (2025)

Dynamic Portfolio Optimization via Augmented DDPG with Quantum Price Levels-Based Trading Strategy
di: Lin, Runsheng, et al.
Pubblicazione: (2025)

Optimizing Sensor Placement for Flow Reconstruction in Urban Drainage Networks: A Digital Twin-Based Sparse Sensing Approach
di: Ding, Zihang, et al.
Pubblicazione: (2025)

Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework
di: He, Xin, et al.
Pubblicazione: (2025)

Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization
di: Sha, Xinye
Pubblicazione: (2024)

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction
di: Xin, Weilin, et al.
Pubblicazione: (2025)