A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects