Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting-Reference-Cited by-同舟云学术

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Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting

Published:2024-05-13 Issue: Volume:9 Page:4435-4448
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering (ICDE)
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Author:

Ma Minbo¹,Hu Jilin²,Jensen Christian S.³,Teng Fei¹,Han Peng⁴,Xu Zhiqiang⁵,Li Tianrui¹

Affiliation:

1. School of Computing and Artificial Intelligence, Southwest Jiaotong University,China

2. East China Normal University,China

3. Aalborg University,Denmark

4. University of Electronic Science and Technology of China,China

5. Mohamed bin Zayed University of Artificial Intelligence,United Arab Emirates

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10597630/10597390/10598092.pdf?arnumber=10598092

Reference38 articles.

1. STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

2. Adaptive graph convolutional recurrent network for traffic forecasting;Bai;NeurIPS,2020

3. Spectral temporal graph neural network for multivariate time-series forecasting;Cao;NeurIPS,2020

4. XGBoost

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