Spectral Adaptive Graph Transformer for Efficient and Scalable Traffic Forecasting.

arXiv:2610.25140v1 Announce Type: new Abstract: Traffic forecasting models based on spectral graph convolution offer an interpretable account of how information is mixed between sensors, but they rely on an eigendecomposition of the graph Laplacian. It costs c