Missingness-Aware Spatiotemporal Graph Learning for Urban Sensor Networks: Design Choices and Evaluation Pitfalls
Urban traffic, environmental, and utility monitoring systems generate multivariate sensor streams whose spatial relations and missing-data mechanisms evolve over time. This critical narrative review examines graph-based forecasting and reconstruction in the presence of unreliable sensor observations. Foundational diffu...