SGNN: A Graph Neural Network Based Federated Learning Approach by Hiding Structure. - Guangxu Mei; Ziyu Guo; Shijun Liu; Li Pan 001 (IEEE BigData, 2019)

A Big Service with Network Represent Learning for Quantified Flight Delay Prediction. - Ziyu Guo; Guangxu Mei; Lei Bian; Hongwu Tang; Diansheng Wang; Li Pan 001; Shijun Liu (ICWS, 2020)

SGDAN - A Spatio-Temporal Graph Dual-Attention Neural Network for Quantified Flight Delay Prediction. - Ziyu Guo; Guangxu Mei; Shijun Liu; Li Pan 001; Lei Bian; Hongwu Tang; Diansheng Wang (Sensors, 2020)

Heterogeneous graph embedding by aggregating meta-path and meta-structure through attention mechanism. - Guangxu Mei; Li Pan 001; Shijun Liu (Neurocomputing, 2022)

Heterogeneous graphlets-guided network embedding via eulerian-trail-based representation. - Guangxu Mei; Siyuan Ye; Shijun Liu; Li Pan 001; Qian Li 003 (Inf. Sci., 2023)

How the four-nodes motifs work in heterogeneous node representation? - Siyuan Ye; Qian Li 003; Guangxu Mei; Shijun Liu; Li Pan 001 (World Wide Web (WWW), 2023)

LIHAN: A Lattice-Guided Incomplete Heterogeneous Information Network Embedding Model for Node Classification. - Guangxu Mei; Ziyu Guo; Li Pan 001; Qian Li 003; Feng Li 030; Shijun Liu (IEEE Trans. Comput. Soc. Syst., 2024)