Abstract: Highlights•Introduces a new spatial-temporal graph product convolutional framework.•Unifies various existing approaches to spatial-temporal graph learning.•Captures multi-scale spatial-temporal features that were previously neglected.•Achieves better performance in capturing complex spatial-temporal patterns in two real-world applications.
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