Enregistré dans:
| Auteurs principaux: | Liu, Tong, Meidani, Hadi |
|---|---|
| Format: | Preprint |
| Publié: |
2022
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2210.06404 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment
par: Liu, Tong, et autres
Publié: (2023)
par: Liu, Tong, et autres
Publié: (2023)
Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment
par: Liu, Tong, et autres
Publié: (2024)
par: Liu, Tong, et autres
Publié: (2024)
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
par: Liu, Tong, et autres
Publié: (2025)
par: Liu, Tong, et autres
Publié: (2025)
Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks
par: Liu, Tong, et autres
Publié: (2025)
par: Liu, Tong, et autres
Publié: (2025)
Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
par: Liu, Tong, et autres
Publié: (2024)
par: Liu, Tong, et autres
Publié: (2024)
Physics-Informed Geometry-Aware Neural Operator
par: Zhong, Weiheng, et autres
Publié: (2024)
par: Zhong, Weiheng, et autres
Publié: (2024)
Physics-informed Discretization-independent Deep Compositional Operator Network
par: Zhong, Weiheng, et autres
Publié: (2024)
par: Zhong, Weiheng, et autres
Publié: (2024)
A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations
par: Gladstone, Rini Jasmine, et autres
Publié: (2024)
par: Gladstone, Rini Jasmine, et autres
Publié: (2024)
PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks
par: Sobh, Nahil, et autres
Publié: (2025)
par: Sobh, Nahil, et autres
Publié: (2025)
Geometry-Informed Neural Operator Transformer
par: Liu, Qibang, et autres
Publié: (2025)
par: Liu, Qibang, et autres
Publié: (2025)
Robust Topology Optimization Using Multi-Fidelity Variational Autoencoders
par: Gladstone, Rini Jasmine, et autres
Publié: (2021)
par: Gladstone, Rini Jasmine, et autres
Publié: (2021)
Optimization over Trained (and Sparse) Neural Networks: A Surrogate within a Surrogate
par: Pham, Hung, et autres
Publié: (2025)
par: Pham, Hung, et autres
Publié: (2025)
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
par: Meidani, Kazem, et autres
Publié: (2023)
par: Meidani, Kazem, et autres
Publié: (2023)
Robust Graph Neural Networks for Stability Analysis in Dynamic Networks
par: Zhang, Xin, et autres
Publié: (2024)
par: Zhang, Xin, et autres
Publié: (2024)
Highway Graph to Accelerate Reinforcement Learning
par: Yin, Zidu, et autres
Publié: (2024)
par: Yin, Zidu, et autres
Publié: (2024)
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
par: Lehmann, Fanny, et autres
Publié: (2023)
par: Lehmann, Fanny, et autres
Publié: (2023)
A Comprehensive Evaluation of Graph Neural Networks and Physics Informed Learning for Surrogate Modelling of Finite Element Analysis
par: Singh, Nayan Kumar
Publié: (2025)
par: Singh, Nayan Kumar
Publié: (2025)
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
par: Baghershahi, Peyman, et autres
Publié: (2022)
par: Baghershahi, Peyman, et autres
Publié: (2022)
FIGNN: Feature-Specific Interpretability for Graph Neural Network Surrogate Models
par: Raut, Riddhiman, et autres
Publié: (2025)
par: Raut, Riddhiman, et autres
Publié: (2025)
Direct Interval Propagation Methods using Neural-Network Surrogates for Uncertainty Quantification in Physical Systems Surrogate Model
par: Faza, Ghifari Adam, et autres
Publié: (2026)
par: Faza, Ghifari Adam, et autres
Publié: (2026)
Graph Neural Network Surrogates to leverage Mechanistic Expert Knowledge towards Reliable and Immediate Pandemic Response
par: Schmidt, Agatha, et autres
Publié: (2024)
par: Schmidt, Agatha, et autres
Publié: (2024)
Towards Bridging Generalization and Expressivity of Graph Neural Networks
par: Li, Shouheng, et autres
Publié: (2024)
par: Li, Shouheng, et autres
Publié: (2024)
Highway Value Iteration Networks
par: Wang, Yuhui, et autres
Publié: (2024)
par: Wang, Yuhui, et autres
Publié: (2024)
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks
par: Zhang, Jiaxing, et autres
Publié: (2025)
par: Zhang, Jiaxing, et autres
Publié: (2025)
SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
par: Huang, Haoyu, et autres
Publié: (2026)
par: Huang, Haoyu, et autres
Publié: (2026)
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks
par: Thaler, Denny, et autres
Publié: (2024)
par: Thaler, Denny, et autres
Publié: (2024)
Benchmarking Convolutional Neural Network and Graph Neural Network based Surrogate Models on a Real-World Car External Aerodynamics Dataset
par: Jacob, Sam Jacob, et autres
Publié: (2025)
par: Jacob, Sam Jacob, et autres
Publié: (2025)
Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
par: Färber, Michael, et autres
Publié: (2025)
par: Färber, Michael, et autres
Publié: (2025)
Towards Infinitely Long Neural Simulations: Self-Refining Neural Surrogate Models for Dynamical Systems
par: Liu, Qi, et autres
Publié: (2026)
par: Liu, Qi, et autres
Publié: (2026)
Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
par: Barwey, Shivam, et autres
Publié: (2023)
par: Barwey, Shivam, et autres
Publié: (2023)
Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets
par: Propp, Adrienne M., et autres
Publié: (2025)
par: Propp, Adrienne M., et autres
Publié: (2025)
Neural Network Surrogate and Projected Gradient Descent for Fast and Reliable Finite Element Model Calibration: a Case Study on an Intervertebral Disc
par: Atad, Matan, et autres
Publié: (2024)
par: Atad, Matan, et autres
Publié: (2024)
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
par: Xue, Rui, et autres
Publié: (2024)
par: Xue, Rui, et autres
Publié: (2024)
Sparsified State-Space Models are Efficient Highway Networks
par: Song, Woomin, et autres
Publié: (2025)
par: Song, Woomin, et autres
Publié: (2025)
Graph Network Surrogate Model for Subsurface Flow Optimization
par: Tang, Haoyu, et autres
Publié: (2023)
par: Tang, Haoyu, et autres
Publié: (2023)
GraphTorque: Torque-Driven Rewiring Graph Neural Network
par: Huang, Sujia, et autres
Publié: (2025)
par: Huang, Sujia, et autres
Publié: (2025)
Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments
par: Shende, Takshak, et autres
Publié: (2026)
par: Shende, Takshak, et autres
Publié: (2026)
Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks
par: Lin, Minhua, et autres
Publié: (2024)
par: Lin, Minhua, et autres
Publié: (2024)
Bridging Theory and Practice in Link Representation with Graph Neural Networks
par: Lachi, Veronica, et autres
Publié: (2025)
par: Lachi, Veronica, et autres
Publié: (2025)
Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
par: Chen, Qin, et autres
Publié: (2025)
par: Chen, Qin, et autres
Publié: (2025)
Documents similaires
-
End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment
par: Liu, Tong, et autres
Publié: (2023) -
Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment
par: Liu, Tong, et autres
Publié: (2024) -
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
par: Liu, Tong, et autres
Publié: (2025) -
Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks
par: Liu, Tong, et autres
Publié: (2025) -
Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models
par: Liu, Tong, et autres
Publié: (2024)