Accurate and real-time traffic forecasting plays an important role in the intelligent traffic system and is of great significance for urban traffic planning, traffic management, and traffic control.

Specifically, we introduce a rating-oriented disentangled representation learning that segments representations and rating graph based on ratings. It also employs an explicit graph learning approach ...