Improving Network Representation Learning via Dynamic Random Walk, Self-Attention and Vertex Attributes-Driven Laplacian Space Optimization. - Shengxiang Hu 002; Bofeng Zhang; Hehe Lv; Furong Chang; Chenyang Zhou 004; Liangrui Wu; Guobing Zou (Entropy, 2022)

Recurrent Transformer for Dynamic Graph Representation Learning with Edge Temporal States. - Shengxiang Hu 002; Guobing Zou; Shiyi Lin; Liangrui Wu; Chenyang Zhou 004; Bofeng Zhang; Yixin Chen 001 (CoRR, 2023)

User Profiling for Personalized Service Recommendation with Dual High-order Feature Learning. - Guobing Zou; Liangrui Wu; Shengxiang Hu 002; Song Yang; Chenyang Zhou 004; Yanglan Gan; Bofeng Zhang (ICWS, 2024)

Dual-Graph Convolutional Network and Dual-View Fusion for Group Recommendation. - Chenyang Zhou 004; Guobing Zou; Shengxiang Hu 002; Hehe Lv; Liangrui Wu; Bofeng Zhang (PAKDD (5), 2024)

Dynamic bipartite network model based on structure and preference features. - Hehe Lv; Guobing Zou; Bofeng Zhang; Shengxiang Hu 002; Chenyang Zhou 004; Liangrui Wu (Knowl. Inf. Syst., 2024)