Simplified multilayer graph convolutional networks with dropout. - Fei Yang; Huyin Zhang; Shiming Tao (Appl. Intell., 2022)

Graph representation learning via simple jumping knowledge networks. - Fei Yang; Huyin Zhang; Shiming Tao; Sheng Hao 001 (Appl. Intell., 2022)

Semi-supervised classification via full-graph attention neural networks. - Fei Yang; Huyin Zhang; Shiming Tao (Neurocomputing, 2022)

Hybrid deep graph convolutional networks. - Fei Yang; Huyin Zhang; Shiming Tao (Int. J. Mach. Learn. Cybern., 2022)

MVDLSTM: MultiView deep LSTM framework for online ride-hailing order prediction. - Yonghao Wu; Huyin Zhang; Cong Li; Shiming Tao; Fei Yang (J. Supercomput., 2022)

Travel order quantity prediction via attention-based bidirectional LSTM networks. - Fei Yang; Huyin Zhang; Shiming Tao (J. Supercomput., 2022)

Multiple Information Spatial-Temporal Attention based Graph Convolution Network for traffic prediction. - Shiming Tao; Huyin Zhang; Fei Yang; Yonghao Wu; Cong Li (Appl. Soft Comput., 2023)

Urban ride-hailing demand prediction with multi-view information fusion deep learning framework. - Yonghao Wu; Huyin Zhang; Cong Li; Shiming Tao; Fei Yang (Appl. Intell., 2023)

Simple hierarchical PageRank graph neural networks. - Fei Yang; Huyin Zhang; Shiming Tao; Xiying Fan (J. Supercomput., 2024)