A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection
Time series are the primary data type used to record dynamic system measurements and
generated in great volume by both physical sensors and online processes (virtual sensors) …
generated in great volume by both physical sensors and online processes (virtual sensors) …
Graph convolutional networks for traffic forecasting with missing values
Traffic forecasting has attracted widespread attention recently. In reality, traffic data usually
contains missing values due to sensor or communication errors. The Spatio-temporal feature …
contains missing values due to sensor or communication errors. The Spatio-temporal feature …