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洞見 - COOL Model for Traffic Prediction
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
Proposing the COOL model to capture high-order spatio-temporal relationships in traffic forecasting.
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting
The author proposes the COOL model to capture high-order spatio-temporal relationships in traffic forecasting by utilizing heterogeneous graphs and self-attention decoders.
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