In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...

Abstract: Temporal knowledge graph (TKG) extrapolation aims to predict future, previously unseen events based on historical facts. However, most existing temporal knowledge graph extrapolation methods ...

Q2 of 2026 started with a white-hot rally in the stock market, recovering its losses from the first quarter and setting ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...