RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection. - Dezhi Guo; Zhaowei Liu 001; Ranran Li (Neural Networks, 2023)

Adaptive multi-channel Bayesian graph attention network for IoT transaction security. - Zhaowei Liu 001; Dong Yang; Shenqiang Wang; Hang Su (Digit. Commun. Networks, 2024)

Heterogeneous graphs neural networks based on neighbor relationship filtering. - Zhaowei Liu 001; Yixian Wang; Shenqiang Wang; Xiangfu Zhao; Haiyang Wang; Haoyu Yin (Expert Syst. Appl., 2024)

RA-HGNN: Attribute completion of heterogeneous graph neural networks based on residual attention mechanism. - Zongxing Zhao; Zhaowei Liu 001; Yingjie Wang 002; Dong Yang; Weishuai Che (Expert Syst. Appl., 2024)

BI-FedGNN: Federated graph neural networks framework based on Bayesian inference. - Rufei Gao; Zhaowei Liu 001; Chenxi Jiang; Yingjie Wang 002; Shenqiang Wang; Pengda Wang 001 (Neural Networks, 2024)

DAG-HFC: Dual-domain attention and graph optimization network for heterogeneous graph feature completion. - Yihao Jiang; Zhaowei Liu 001; Yongchao Song; Yao Shan; Tengjiang Wang; Dong Yang (Expert Syst. Appl., 2025)

Enhanced tensor based embedding anchor learning for multi-view clustering. - Beihua Yang; Peng Song 002; Yuanbo Cheng; Shixuan Zhou; Zhaowei Liu 001 (Inf. Sci., 2025)

Label completion based concept factorization for incomplete multi-view clustering. - Beihua Yang; Peng Song 002; Yuanbo Cheng; Zhaowei Liu 001; Yanwei Yu (Knowl. Based Syst., 2025)

BAB-GSL: Using Bayesian influence with attention mechanism to optimize graph structure in basic views. - Zhaowei Liu 001; Miaosi Xie; Yongchao Song; Lihong Wang; Yunhong Lu; Haiyang Wang; Xiaolong Chen 001 (Neural Networks, 2025)