Dynamic Graph Representation Learning for Spatiotemporal Forecasting under High Data Volatility
Spatiotemporal forecasting plays a critical role in managing large-scale physical, economic, and digital infrastructures. Applications range from urban traffic management and financial order book modeling to smart grid load balancing and climate monitoring. Modern spatiotemporal architectures—primarily Spatiotemporal G...