2024
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting
ICASSP 2024accepted
Complex spatial dependencies in transportation networks make traffic prediction extremely challenging. Much existing work is devoted to learning dynamic graph structures among sensors, and the strategy of mining spatial dependencies from traffic data, known as data-driven, tends to be an intuitive a…