LargeST
Emerging4papers using it
2024first seen
The 'LargeST' dataset/benchmark contains large sets of synchronized spatial-temporal time series data and is used to evaluate the performance of forecasting models in handling challenges such as the emergence and disappearance of entities.
Papers using LargeST (4)
- Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted TransformersUltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal ForecastingFATE: Focal-modulated Attention Encoder for Multivariate Time-series ForecastingVariational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting