Abstract: Relational graphs encapsulate nontrivial inherent interactions among entities in heterogeneous data sources. Iden-tifying hubs in relational graphs is vital in various applications such as ...
We propose a novel deep learning framework, STGCN, to tackle time series prediction problem in traffic domain. Instead of applying regular convolutional and recurrent units, we formulate the problem ...
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