Abstract: Recent studies have revealed the significant potential of spatiotemporal graph neural networks for multivariate time series forecasting with missing values. These methods typically represent ...

Abstract: Accurate link prediction plays a critical role in optimizing energy consumption and operational efficiency. In the context of power systems and wireless networks, numerous machine learning ...