Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Ahmad, Osama, Wesemann, Lukas, Waschkowski, Fabian, Khalid, Zubair |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Spatiotemporal Forecasting Using Adaptive Deep-Unfolded Variational Mode Decomposition
by: Ahmad, Osama, et al.
Published: (2025)
by: Ahmad, Osama, et al.
Published: (2025)
Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention
by: Ahmad, Osama, et al.
Published: (2025)
by: Ahmad, Osama, et al.
Published: (2025)
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features
by: Ahmad, Osama, et al.
Published: (2025)
by: Ahmad, Osama, et al.
Published: (2025)
Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting
by: Wang, Zekai, et al.
Published: (2025)
by: Wang, Zekai, 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)
Enhancing Spatiotemporal Networks with xLSTM: A Scalar LSTM Approach for Cellular Traffic Forecasting
by: Ali, Khalid, et al.
Published: (2025)
by: Ali, Khalid, et al.
Published: (2025)
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)
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)
by: Liu, Aoyu, et al.
Published: (2022)
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)
by: Wang, Hongjun, et al.
Published: (2024)
Vision-LLMs for Spatiotemporal Traffic Forecasting
by: Yang, Ning, et al.
Published: (2025)
by: Yang, Ning, et al.
Published: (2025)
Weaver: Kronecker Product Approximations of Spatiotemporal Attention for Traffic Network Forecasting
by: Cheong, Christopher, et al.
Published: (2025)
by: Cheong, Christopher, et al.
Published: (2025)
Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution
by: Wu, Kaiqi, et al.
Published: (2025)
by: Wu, Kaiqi, et al.
Published: (2025)
Variational Graph Convolutional Neural Networks
by: Oleksiienko, Illia, et al.
Published: (2025)
by: Oleksiienko, Illia, et al.
Published: (2025)
Incident-Guided Spatiotemporal Traffic Forecasting
by: Fan, Lixiang, et al.
Published: (2026)
by: Fan, Lixiang, et al.
Published: (2026)
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting
by: Dai, Ben-Ao, et al.
Published: (2025)
by: Dai, Ben-Ao, et al.
Published: (2025)
A Surrogate-Augmented Symbolic CFD-Driven Training Framework for Accelerating Multi-objective Physical Model Development
by: Fang, Yuan, et al.
Published: (2025)
by: Fang, Yuan, et al.
Published: (2025)
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
by: Zhang, Weijia, et al.
Published: (2023)
by: Zhang, Weijia, et al.
Published: (2023)
Dynamic Modes as Time Representation for Spatiotemporal Forecasting
by: Kong, Menglin, et al.
Published: (2025)
by: Kong, Menglin, et al.
Published: (2025)
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
by: Cao, Lingxiao, et al.
Published: (2025)
by: Cao, Lingxiao, et al.
Published: (2025)
A Novel Spatiotemporal Coupling Graph Convolutional Network
by: Bi, Fanghui
Published: (2024)
by: Bi, Fanghui
Published: (2024)
Crime Hotspot Prediction Using Deep Graph Convolutional Networks
by: Zubair, Tehreem, et al.
Published: (2025)
by: Zubair, Tehreem, et al.
Published: (2025)
Discovering the Precursors of Traffic Breakdowns Using Spatiotemporal Graph Attribution Networks
by: Mo, Zhaobin, et al.
Published: (2025)
by: Mo, Zhaobin, 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)
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)
TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
A Simple Spectral Failure Mode for Graph Convolutional Networks
by: Priebe, Carey E., et al.
Published: (2020)
by: Priebe, Carey E., et al.
Published: (2020)
Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation
by: Jiang, Nan, et al.
Published: (2025)
by: Jiang, Nan, et al.
Published: (2025)
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
by: Lee, Sanghyun, et al.
Published: (2024)
by: Lee, Sanghyun, et al.
Published: (2024)
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks
by: Einizade, Aref, et al.
Published: (2024)
by: Einizade, Aref, 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)
FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration
by: Wang, Binwu, et al.
Published: (2024)
by: Wang, Binwu, et al.
Published: (2024)
A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction
by: Chan, Victor, et al.
Published: (2020)
by: Chan, Victor, et al.
Published: (2020)
Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
by: Liu, Fuqiang, et al.
Published: (2025)
by: Liu, Fuqiang, et al.
Published: (2025)
A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
by: Palit, Jewel Rana, et al.
Published: (2024)
by: Palit, Jewel Rana, et al.
Published: (2024)
Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)
by: Ghaffari, Amirhossein, 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)
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
by: Izadi, Mohammad, et al.
Published: (2024)
by: Izadi, Mohammad, 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)
Similar Items
-
Robust Spatiotemporal Forecasting Using Adaptive Deep-Unfolded Variational Mode Decomposition
by: Ahmad, Osama, et al.
Published: (2025) -
Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention
by: Ahmad, Osama, et al.
Published: (2025) -
Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features
by: Ahmad, Osama, et al.
Published: (2025) -
Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting
by: Wang, Zekai, et al.
Published: (2025) -
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting
by: Qian, Qipeng, et al.
Published: (2024)