Abstract: Robust and accurate traffic forecasting is a key issue in intelligent transportation systems. Existing studies usually employ pre-defined spatial graph or learned fixed adjacency graph and ...
Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...
Mental disorders are among the most widespread diseases globally. In this work, we propose a novel framework called $\textbf{NuroTree}$ that contributes to computational neuroscience by integrating ...
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