Graph ensemble deep random vector functional link network for traffic forecasting

Liang Du, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, David Z. W. Wang

Abstract: Highlights•A graph EdRVFL network for node-wise spatiotemporal forecasting is proposed.•The intermediate features are filtered through a model-based selection method.•The search of hyperparameters is implemented using Bayesian optimization algorithm.•Our method outperforms the state-of-the-art models on a large-scale dataset.