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Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
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A novel initialization layer enables GNNs to adaptively transfer across urban environments, achieving superior performance with significantly reduced training times.
The 1-block STGCN variant achieves superior performance with significantly lower computational costs, challenging the assumption that deeper architectures are always better for traffic prediction.