Title
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values
Abstract
Accurate traffic prediction is indispensable for intelligent traffic management. The availability of large-scale road sensing data collected by connected wireless sensors and mobile devices have provided unrealized potential for traffic prediction. However, sensory data is often incomplete due to various factors in the process of data acquisition and transmission. The missingness of traffic data b...
Year
DOI
Venue
2021
10.1109/ICDCS51616.2021.00073
2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)
Keywords
DocType
ISSN
Wireless communication,Wireless sensor networks,Correlation,Recurrent neural networks,Roads,Urban areas,Distributed databases
Conference
1063-6927
ISBN
Citations 
PageRank 
978-1-6654-4513-9
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Weida Zhong173.14
Qiuling Suo2367.02
Xiaowei Jia38021.04
Aidong Zhang42970405.63
lu su5111866.61