GRAPH NEURAL NETWORKS WITH DIVERSITY-AWARE NEIGHBOR SELECTION AND DYNAMIC MULTI-SCALE FUSION FOR MULTIVARIATE TIME SERIES FORECASTING
Recently, numerous deep models have been proposed to enhance the performance of multivariate time series (MTS) forecasting. Among them, Graph Neural Networks (GNNs)-based methods have shown great potential due to their capability to explicitly model inter-variable dependencies. However, these method…