In the spatial module, we design a dynamic graph convolutional network based on graph construction methods. The network is designed to leverage a traffic pattern bank considering spatial-temporal ...

Graph convolutional neural netwoks (GCNNs) have been emerged to handle graph-structured data in recent years. Most existing GCNNs are either spatial approaches working on neighborhood of each node, or ...

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CAREER NEWS 25 June 2025 The economic effects of federal cuts to US science — in 24 graphs Is US science facing a recession? Growing evidence points to a looming downturn.