Availability-conditioned spatial compensation for traffic forecasting with incomplete observations
Accurate traffic forecasting depends on reliable historical observations, yet sensor readings are often unavailable in practice. Simply filling missing entries with numerical placeholders obscures their observation state and may distort the representation of historical traffic conditions. Graph neural networks can capt...