Uncovering Latent Patterns and Disentangling Heterogeneity in Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
The proposed MoSSL framework aims to uncover latent patterns and disentangle the heterogeneity from temporal, spatial, and modality perspectives in multi-modality spatio-temporal forecasting.
