Abstract: Recent studies have revealed the significant potential of spatiotemporal graph neural networks for multivariate time series forecasting with missing values. These methods typically represent ...

Abstract: Transformer-based models have achieved impressive performance in semantic segmentation in recent years. However, the multi-head self-attention mechanism in Transformers incurs significant ...