2026
GRAPH NEURAL NETWORKS WITH DIVERSITY-AWARE NEIGHBOR SELECTION AND DYNAMIC MULTI-SCALE FUSION FOR MULTIVARIATE TIME SERIES FORECASTING
ICASSP 2026poster
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…