Recommendation Algorithm in Double-Layer Network Based on Vector Dynamic Evolution Clustering and Attention Mechanism. - Jianrui Chen; Zhihui Wang 002; Tingting Zhu 005; Fernando E. Rosas (Complex., 2020)

A Regularized Hypergraph Recommendation Algorithm with Attention Mechanism. - Tingting Zhu 005; Jianrui Chen; Zhihui Wang 002; Meixia He (CCIS, 2021)

Dyn-GCN: Graph Embedding via Dynamic Evolution and Graph Convolutional Network for Personal Recommendation. - Zhihui Wang 002; Jianrui Chen; Peijie Wang; Tingting Zhu 005 (NaNA, 2021)

A novel recommendation scheme with multifactorial weighted matrix decomposition strategies via forgetting rule. - Jianrui Chen; Yanqing Lu; Fanhua Shang; Tingting Zhu 005 (Eng. Appl. Artif. Intell., 2021)

Relation Transformation based on Graph Convolution Network for Entity Alignment. - Luheng Yang; Zhihui Wang 002; Tingting Zhu 005; Jianrui Chen (NaNA, 2022)

Regularized Framework on Heterogeneous Hypergraph Model for Personal Recommendation. - Tingting Zhu 005; Jianrui Chen; Zhihui Wang 002; Di Wu 027 (NCTCS, 2022)

A hypergraph-based framework for personalized recommendations via user preference and dynamics clustering. - Zhihui Wang 002; Jianrui Chen; Fernando E. Rosas; Tingting Zhu 005 (Expert Syst. Appl., 2022)

Delayed evolutionary game clustering-based recommendation algorithm via latent information and user preference. - Jianrui Chen; Tingting Zhu 005; Qilao Zha; Zhihui Wang 002 (Eng. Appl. Artif. Intell., 2023)

A Game-Based Evolutionary Clustering With Historical Information Aggregation for Personal Recommendation. - Jianrui Chen; Tingting Zhu 005; Maoguo Gong; Zhihui Wang 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)