A Dual-Graph Spatiotemporal GNN Surrogate for Nonlinear Response Prediction of Reinforced Concrete Beams under Four-Point Bending
Fuente:
arXiv
Saved in:
| Main Authors: | Ren, Zhaoyang, Li, Qilin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Surrogate Graph Partitioning for Spatial Prediction
by: Shikuri, Yuta, et al.
Published: (2025)
by: Shikuri, Yuta, et al.
Published: (2025)
MDAS-GNN: Multi-Dimensional Spatiotemporal GNN with Spatial Diffusion for Urban Traffic Risk Forecasting
by: Gao, Ziyuan
Published: (2025)
by: Gao, Ziyuan
Published: (2025)
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
by: Fan, Wei, et al.
Published: (2025)
by: Fan, Wei, et al.
Published: (2025)
Toward an Operational GNN-Based Multimesh Surrogate for Fast Flood Forecasting
by: Mercier, Valentin, et al.
Published: (2026)
by: Mercier, Valentin, et al.
Published: (2026)
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)
by: Yuan, Peng, et al.
Published: (2024)
A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction
by: Mi, Yuan, et al.
Published: (2024)
by: Mi, Yuan, et al.
Published: (2024)
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
by: Jing, Baoyu, et al.
Published: (2024)
by: Jing, Baoyu, et al.
Published: (2024)
Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression
by: Mathur, Shaurya, et al.
Published: (2026)
by: Mathur, Shaurya, et al.
Published: (2026)
KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction
by: Li, Longlong, et al.
Published: (2024)
by: Li, Longlong, et al.
Published: (2024)
Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs
by: Mo, Zhaobin, et al.
Published: (2024)
by: Mo, Zhaobin, et al.
Published: (2024)
Subsampling Graphs with GNN Performance Guarantees
by: Jain, Mika Sarkin, et al.
Published: (2025)
by: Jain, Mika Sarkin, et al.
Published: (2025)
Test-time GNN Model Evaluation on Dynamic Graphs
by: Li, Bo, et al.
Published: (2025)
by: Li, Bo, et al.
Published: (2025)
Predictions as Surrogates: Revisiting Surrogate Outcomes in the Age of AI
by: Ji, Wenlong, et al.
Published: (2025)
by: Ji, Wenlong, et al.
Published: (2025)
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
by: Niu, Yifan, et al.
Published: (2025)
by: Niu, Yifan, et al.
Published: (2025)
Adaptive Graph Coarsening for Efficient GNN Training
by: Olshevskyi, Rostyslav, et al.
Published: (2025)
by: Olshevskyi, Rostyslav, et al.
Published: (2025)
A Nested Graph Reinforcement Learning-based Decision-making Strategy for Eco-platooning
by: Gao, Xin, et al.
Published: (2024)
by: Gao, Xin, et al.
Published: (2024)
Noise Titration: Exact Distributional Benchmarking for Probabilistic Time Series Forecasting
by: Wang, Qilin
Published: (2026)
by: Wang, Qilin
Published: (2026)
SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks
by: Das, Siddhartha Shankar, et al.
Published: (2025)
by: Das, Siddhartha Shankar, et al.
Published: (2025)
Spatiotemporal Multi-Task Graph Transformer for Trip-Level Transit Prediction
by: Yusuf, Oluwaleke, et al.
Published: (2026)
by: Yusuf, Oluwaleke, et al.
Published: (2026)
Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction
by: Zhao, Zexing, et al.
Published: (2024)
by: Zhao, Zexing, et al.
Published: (2024)
INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks
by: Gupta, Mohit, et al.
Published: (2025)
by: Gupta, Mohit, et al.
Published: (2025)
Graph In-Context Operator Networks for Generalizable Spatiotemporal Prediction
by: Wu, Chenghan, et al.
Published: (2026)
by: Wu, Chenghan, et al.
Published: (2026)
KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
by: Lin, Kun-Wei, et al.
Published: (2025)
by: Lin, Kun-Wei, et al.
Published: (2025)
AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification
by: Lin, Xixun, et al.
Published: (2026)
by: Lin, Xixun, et al.
Published: (2026)
GNN for Structural Displacement Prediction
by: Chang, Hung-Fu, et al.
Published: (2026)
by: Chang, Hung-Fu, et al.
Published: (2026)
Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation
by: Li, Haoran, et al.
Published: (2026)
by: Li, Haoran, et al.
Published: (2026)
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting
by: Wang, Weiyan, et al.
Published: (2025)
by: Wang, Weiyan, et al.
Published: (2025)
Accelerating Reinforcement Learning Training Using Simulation Surrogate Models
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2026)
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024)
by: Akansha, S.
Published: (2024)
ComFairGNN: Community Fair Graph Neural Network
by: Sium, Yonas, et al.
Published: (2024)
by: Sium, Yonas, et al.
Published: (2024)
LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)
by: Borisyuk, Fedor, et al.
Published: (2024)
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks
by: Zhuang, Dingyi, et al.
Published: (2024)
by: Zhuang, Dingyi, et al.
Published: (2024)
GNN-based Passenger Request Prediction
by: Makhdomi, Aqsa Ashraf, et al.
Published: (2023)
by: Makhdomi, Aqsa Ashraf, et al.
Published: (2023)
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
by: Xu, Ruiyao, et al.
Published: (2026)
by: Xu, Ruiyao, et al.
Published: (2026)
Are LLMs Better GNN Helpers? Rethinking Robust Graph Learning under Deficiencies with Iterative Refinement
by: Wang, Zhaoyan, et al.
Published: (2025)
by: Wang, Zhaoyan, et al.
Published: (2025)
Kronecker-Structured Nonparametric Spatiotemporal Point Processes
by: Xu, Zhitong, et al.
Published: (2026)
by: Xu, Zhitong, et al.
Published: (2026)
Point-DeepONet: Predicting Nonlinear Fields on Non-Parametric Geometries under Variable Load Conditions
by: Park, Jangseop, et al.
Published: (2024)
by: Park, Jangseop, et al.
Published: (2024)
GraphFedMIG: Tackling Class Imbalance in Federated Graph Learning via Mutual Information-Guided Generation
by: Li, Xinrui, et al.
Published: (2025)
by: Li, Xinrui, et al.
Published: (2025)
engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection
by: Yang, Tiantian, et al.
Published: (2026)
by: Yang, Tiantian, et al.
Published: (2026)
Similar Items
-
Surrogate Graph Partitioning for Spatial Prediction
by: Shikuri, Yuta, et al.
Published: (2025) -
MDAS-GNN: Multi-Dimensional Spatiotemporal GNN with Spatial Diffusion for Urban Traffic Risk Forecasting
by: Gao, Ziyuan
Published: (2025) -
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
by: Fan, Wei, et al.
Published: (2025) -
Toward an Operational GNN-Based Multimesh Surrogate for Fast Flood Forecasting
by: Mercier, Valentin, et al.
Published: (2026) -
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)