Unist: A prompt-empowered universal model for urban spatio-temporal prediction
Urban spatio-temporal prediction is crucial for informed decision-making, such as traffic
management, resource optimization, and emergence response. Despite remarkable …
management, resource optimization, and emergence response. Despite remarkable …
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
The challenge of effectively learning inter-series correlations for multivariate time series
forecasting remains a substantial and unresolved problem. Traditional deep learning …
forecasting remains a substantial and unresolved problem. Traditional deep learning …
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model
Spatio-temporal (ST) prediction has garnered a De facto attention in earth sciences, such as
meteorological prediction, human mobility perception. However, the scarcity of data coupled …
meteorological prediction, human mobility perception. However, the scarcity of data coupled …