Zhenzhou Li

ConDyGNet: Constraint-Guided Dynamic Graph Networks for Multivariate Time Series Forecasting

Modeling inter-channel dependencies is important for multivariate time series forecasting (MTSF). However, in many cases, inter-channel dependencies are time-varying and subject to noise interference, making it difficult for models to find a balance between structural stability and temporal adaptivi