PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Hanwen, Wen, Zimo, Qian, Shiyou, Co, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, 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)
Laplacian Convolutional Representation for Traffic Time Series Imputation
by: Chen, Xinyu, et al.
Published: (2022)
by: Chen, Xinyu, et al.
Published: (2022)
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
by: Liang, Guojun, et al.
Published: (2024)
by: Liang, Guojun, et al.
Published: (2024)
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
by: Yang, Yiyuan, et al.
Published: (2024)
by: Yang, Yiyuan, et al.
Published: (2024)
Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)
by: Wang, Jun, et al.
Published: (2024)
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation
by: Mao, Xiaowei, et al.
Published: (2026)
by: Mao, Xiaowei, et al.
Published: (2026)
TSI-Bench: Benchmarking Time Series Imputation
by: Du, Wenjie, et al.
Published: (2024)
by: Du, Wenjie, et al.
Published: (2024)
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
by: Qian, Linglong, et al.
Published: (2024)
by: Qian, Linglong, et al.
Published: (2024)
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)
by: Ai, Yinghao, et al.
Published: (2026)
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
by: Su, Ye, et al.
Published: (2025)
by: Su, Ye, et al.
Published: (2025)
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
by: Eskandari, Amir, et al.
Published: (2024)
by: Eskandari, Amir, et al.
Published: (2024)
CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation
by: Solís-García, Javier, et al.
Published: (2025)
by: Solís-García, Javier, et al.
Published: (2025)
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
by: Ragab, Mohamed, et al.
Published: (2024)
by: Ragab, Mohamed, et al.
Published: (2024)
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
by: Leppich, Robert, et al.
Published: (2025)
by: Leppich, Robert, et al.
Published: (2025)
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework
by: Wang, Xintong, et al.
Published: (2025)
by: Wang, Xintong, et al.
Published: (2025)
Positional-aware Spatio-Temporal Network for Large-Scale Traffic Prediction
by: Chen, Runfei
Published: (2026)
by: Chen, Runfei
Published: (2026)
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks
by: Raj, Joseph Arul, et al.
Published: (2024)
by: Raj, Joseph Arul, et al.
Published: (2024)
Task-oriented Time Series Imputation Evaluation via Generalized Representers
by: Wang, Zhixian, et al.
Published: (2024)
by: Wang, Zhixian, et al.
Published: (2024)
Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)
by: Jung, Chanyoung, et al.
Published: (2024)
AdaSTI: Conditional Diffusion Models with Adaptive Dependency Modeling for Spatio-Temporal Imputation
by: Yang, Yubo, et al.
Published: (2025)
by: Yang, Yubo, et al.
Published: (2025)
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
by: Nie, Tong, et al.
Published: (2025)
by: Nie, Tong, et al.
Published: (2025)
Glocal Information Bottleneck for Time Series Imputation
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
by: Miao, Hao, et al.
Published: (2024)
by: Miao, Hao, et al.
Published: (2024)
RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
by: Ruan, Weilin, et al.
Published: (2025)
by: Ruan, Weilin, et al.
Published: (2025)
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)
by: Ji, Jiahao, et al.
Published: (2022)
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
by: Liu, Zibo, et al.
Published: (2024)
by: Liu, Zibo, et al.
Published: (2024)
Hierarchical Information-Guided Spatio-Temporal Mamba for Stock Time Series Forecasting
by: Yan, Wenbo, et al.
Published: (2025)
by: Yan, Wenbo, et al.
Published: (2025)
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)
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
by: Dong, Pingping, et al.
Published: (2024)
by: Dong, Pingping, et al.
Published: (2024)
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
by: Collado-Villaverde, Armando, et al.
Published: (2025)
by: Collado-Villaverde, Armando, et al.
Published: (2025)
PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
by: Liang, Yuanyuan, et al.
Published: (2025)
by: Liang, Yuanyuan, et al.
Published: (2025)
Sim-MSTNet: sim2real based Multi-task SpatioTemporal Network Traffic Forecasting
by: Ma, Hui, et al.
Published: (2026)
by: Ma, Hui, et al.
Published: (2026)
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
by: Theodoropoulos, Theodoros, et al.
Published: (2024)
by: Theodoropoulos, Theodoros, et al.
Published: (2024)
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation
by: Qian, Linglong, et al.
Published: (2024)
by: Qian, Linglong, et al.
Published: (2024)
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
by: Agarwal, Rohit, et al.
Published: (2023)
by: Agarwal, Rohit, et al.
Published: (2023)
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
by: Zhou, Jianping, et al.
Published: (2024)
by: Zhou, Jianping, et al.
Published: (2024)
Similar Items
-
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
by: Wang, Yiming, et al.
Published: (2025) -
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
by: Zhang, Weijia, et al.
Published: (2023) -
Laplacian Convolutional Representation for Traffic Time Series Imputation
by: Chen, Xinyu, et al.
Published: (2022) -
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
by: Liang, Guojun, et al.
Published: (2024) -
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
by: Yang, Yiyuan, et al.
Published: (2024)