<ul><li>STAMImputer is a Spatio-Temporal Attention Mixture of Experts network designed for traffic data imputation.</li><li>It addresses challenges in extracting features from block-wise missing data scenarios and handling distribution shifts for nonstationary traffic data.</li><li>The network incorporates a Mixture of Experts framework to capture latent spatio-temporal features and uses a Low-rank guided Sampling Graph ATtention mechanism for spatial feature propagation.</li><li>Extensive experiments on four traffic datasets show that STAMImputer outperforms existing state-of-the-art approaches in traffic data imputation.</li></ul>

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation

Discover more