
Proposing the COOL model to capture high-order spatio-temporal relationships in traffic forecasting.


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cool-a-conjoint-perspective-on-spatio-temporal-graph-neural-network-for-traffic-forecasting


COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting


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The author proposes the COOL model to capture high-order spatio-temporal relationships in traffic forecasting by utilizing heterogeneous graphs and self-attention decoders.
