A large-scale data security detection method based on continuous time graph embedding framework. - Zhaowei Liu; Weishuai Che; Shenqiang Wang; Jindong Xu; Haoyu Yin (J. Cloud Comput., 2023)

Ensuring security in edge computing through effective blockchain node detection. - Shenqiang Wang; Zhaowei Liu; Haiyang Wang; Jianping Wang (J. Cloud Comput., 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)

Adaptive Attention-Based Graph Representation Learning to Detect Phishing Accounts on the Ethereum Blockchain. - Haojie Sun; Zhaowei Liu 002; Shenqiang Wang; Haiyang Wang (IEEE Trans. Netw. Sci. Eng., 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)