Lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting

This article introduces a new approach to time series forecasting using a lightweight Spatial-Temporal Graph Neural Network. The focus is on improving long-term forecasting capabilities, likely addressing challenges in areas like efficiency and accuracy. The use of graph neural networks suggests the model can handle complex relationships within the data.