Yun-Chen Dong

GraphReformer: Information-Bottleneck-Driven Implicit Structural Inference for Efficient Transformer-Based Time Series Forecasting

Multivariate long-sequence time series forecasting (MLSTF) is critical in applications such as electricity consumption planning, where accurate prediction requires models to capture complex temporal dependencies over extended horizons while remaining computationally efficient. Current MLSTF methods are largely built up...