Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zekai, Yao, Bing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
by: Ahmad, Osama, et al.
Published: (2024)
by: Ahmad, Osama, et al.
Published: (2024)
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems
by: Zhang, Xizhuo, et al.
Published: (2025)
by: Zhang, Xizhuo, et al.
Published: (2025)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
A Differential Smoothness-based Compact-Dynamic Graph Convolutional Network for Spatiotemporal Signal Recovery
by: Gao, Pengcheng, et al.
Published: (2024)
by: Gao, Pengcheng, et al.
Published: (2024)
A Novel Spatiotemporal Coupling Graph Convolutional Network
by: Bi, Fanghui
Published: (2024)
by: Bi, Fanghui
Published: (2024)
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records
by: Wang, Zekai, et al.
Published: (2024)
by: Wang, Zekai, et al.
Published: (2024)
Physics-augmented Multi-task Gaussian Process for Modeling Spatiotemporal Dynamics
by: Zhang, Xizhuo, et al.
Published: (2025)
by: Zhang, Xizhuo, et al.
Published: (2025)
Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution
by: Jahan, Nourin, et al.
Published: (2026)
by: Jahan, Nourin, et al.
Published: (2026)
Spatiotemporal Graph Convolutional Recurrent Neural Network Model for Citywide Air Pollution Forecasting
by: Le, Van-Duc, et al.
Published: (2023)
by: Le, Van-Duc, et al.
Published: (2023)
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)
by: Liu, Aoyu, et al.
Published: (2022)
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
T-Graphormer: Using Transformers for Spatiotemporal Forecasting
by: Bai, Hao Yuan, et al.
Published: (2025)
by: Bai, Hao Yuan, et al.
Published: (2025)
DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting
by: Forootani, Ali, et al.
Published: (2025)
by: Forootani, Ali, et al.
Published: (2025)
Enhancing Epidemic Forecasting: Evaluating the Role of Mobility Data and Graph Convolutional Networks
by: Guo, Suhan, et al.
Published: (2025)
by: Guo, Suhan, et al.
Published: (2025)
Temporally Consistent Koopman Autoencoders for Forecasting Dynamical Systems
by: Nayak, Indranil, et al.
Published: (2024)
by: Nayak, Indranil, et al.
Published: (2024)
Leveraging Spatiotemporal Graph Neural Networks for Multi-Store Sales Forecasting
by: Singh, Manish, et al.
Published: (2025)
by: Singh, Manish, et al.
Published: (2025)
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks
by: Einizade, Aref, et al.
Published: (2024)
by: Einizade, Aref, et al.
Published: (2024)
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
by: Kong, Menglin, et al.
Published: (2025)
by: Kong, Menglin, et al.
Published: (2025)
G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes
by: Beerman, Jack T., et al.
Published: (2026)
by: Beerman, Jack T., et al.
Published: (2026)
Learnable Koopman-Enhanced Transformer-Based Time Series Forecasting with Spectral Control
by: Forootani, Ali, et al.
Published: (2026)
by: Forootani, Ali, et al.
Published: (2026)
Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks
by: Xue, Zhihao, et al.
Published: (2025)
by: Xue, Zhihao, et al.
Published: (2025)
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting
by: Qian, Qipeng, et al.
Published: (2024)
by: Qian, Qipeng, et al.
Published: (2024)
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
by: Shin, Yuyol, et al.
Published: (2022)
by: Shin, Yuyol, et al.
Published: (2022)
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)
by: Wang, Ling, et al.
Published: (2024)
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
by: Nguyen, Phong C. H., et al.
Published: (2024)
by: Nguyen, Phong C. H., et al.
Published: (2024)
Graph Convolutional Network With Pattern-Spatial Interactive and Regional Awareness for Traffic Forecasting
by: Ji, Xinyu, et al.
Published: (2025)
by: Ji, Xinyu, et al.
Published: (2025)
Koopman Autoencoders with Continuous-Time Latent Dynamics for Fluid Dynamics Forecasting
by: Grozavescu, Rares, et al.
Published: (2026)
by: Grozavescu, Rares, et al.
Published: (2026)
Learning Dynamic Graphs via Tensorized and Lightweight Graph Convolutional Networks
by: Han, Minglian
Published: (2025)
by: Han, Minglian
Published: (2025)
Interpreting Temporal Graph Neural Networks with Koopman Theory
by: Guerra, Michele, et al.
Published: (2024)
by: Guerra, Michele, et al.
Published: (2024)
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting
by: Pham, Thien, et al.
Published: (2025)
by: Pham, Thien, et al.
Published: (2025)
Knowledge-Aware Conversation Derailment Forecasting Using Graph Convolutional Networks
by: Altarawneh, Enas, et al.
Published: (2024)
by: Altarawneh, Enas, et al.
Published: (2024)
Photonics-Enhanced Graph Convolutional Networks
by: Wang, Yuan, et al.
Published: (2025)
by: Wang, Yuan, et al.
Published: (2025)
YZS-model: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention
by: Wang, Chenxu, et al.
Published: (2024)
by: Wang, Chenxu, et al.
Published: (2024)
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
by: Huang, Jincheng, et al.
Published: (2024)
by: Huang, Jincheng, et al.
Published: (2024)
Size Transferability of Graph Transformers with Convolutional Positional Encodings
by: Porras-Valenzuela, Javier, et al.
Published: (2026)
by: Porras-Valenzuela, Javier, et al.
Published: (2026)
DeepJ: Graph Convolutional Transformers with Differentiable Pooling for Patient Trajectory Modeling
by: Li, Deyi, et al.
Published: (2025)
by: Li, Deyi, et al.
Published: (2025)
Koopman Ensembles for Probabilistic Time Series Forecasting
by: Frion, Anthony, et al.
Published: (2024)
by: Frion, Anthony, et al.
Published: (2024)
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
by: Ancelotti, Amy, et al.
Published: (2024)
by: Ancelotti, Amy, et al.
Published: (2024)
DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting
by: Cui, Wanna, et al.
Published: (2025)
by: Cui, Wanna, et al.
Published: (2025)
Fully Convolutional Spatiotemporal Learning for Microstructure Evolution Prediction
by: Trimboli, Michael, et al.
Published: (2026)
by: Trimboli, Michael, et al.
Published: (2026)
Similar Items
-
Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
by: Ahmad, Osama, et al.
Published: (2024) -
Geometry-aware Active Learning of Spatiotemporal Dynamic Systems
by: Zhang, Xizhuo, et al.
Published: (2025) -
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024) -
A Differential Smoothness-based Compact-Dynamic Graph Convolutional Network for Spatiotemporal Signal Recovery
by: Gao, Pengcheng, et al.
Published: (2024) -
A Novel Spatiotemporal Coupling Graph Convolutional Network
by: Bi, Fanghui
Published: (2024)