Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
I reiterate a buy recommendation for assets tracking the main American indices, highlighting robust S&P 500 fundamentals and strong Q3 earnings growth. SPY and similar index funds benefit from ...
Abstract: Graphs are widely used to model networks in real-world applications, with heterogeneous graph neural networks gaining increasing attention in recent years. Existing methods generally rely on ...
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