Yuxuan Liang

STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting

Real-world traffic data exhibit heterogeneous spatial correlations and nonlinear temporal dynamics, posing substantial challenges for accurate spatio-temporal forecasting. Existing approaches have developed increasingly sophisticated graph, attention, and decomposition architectures, while the influence of the underlyi...