Entrar
insight - 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.
Produtos
© 2024 by Linnk AI