Time series

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Deep learning for time series classification: a review

Are Transformers Effective for Time Series Forecasting?

Temporal Fusion Transformers for interpretable multi-horizon time series forecasting

Interrupted time series regression for the evaluation of public health interventions: a tutorial

Forecasting at Scale

A critical review of RNN and LSTM variants in hydrological time series predictions