Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach

no code implementations • 27 Mar 2023 • Zhongcan Li, Ping Huang, Chao Wen, Filipe Rodrigues

This paper aims to develop a heterogeneous graph neural network (HetGNN) model, which can address different types of nodes (i. e., heterogeneous nodes), to investigate the train delay evolution on railway networks.

Decision Making