Link Prediction Based on Gravitational Field of Complex Network. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (DASC/PiCom/DataCom/CyberSciTech, 2019)

Hypernetwork Model Based on Logistic Regression. - Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yanlin Yang; Fuxiang Ma (Big Data (CCF), 2020)

A practical adversarial attack on Graph Neural Networks by attacking single node structure. - Yang Chen; Zhonglin Ye; Haixing Zhao; Lei Meng 004; Zhaoyang Wang; Yanlin Yang (HPCC/DSS/SmartCity/DependSys, 2022)

Three-Channel Graph Convolutional Network. - Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yanlin Yang; Yang Chen; Zhaoyang Wang (HPCC/DSS/SmartCity/DependSys, 2022)

Multi-scale Heterogeneous Graph Contrastive Learning*. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yuzhi Xiao; Shujuan Cao (IEEE Big Data, 2023)

Applications of Teaching Based on Virtual Reality in Agro-Pastoralism Areas. - Zhonglin Ye; Yanlin Yang; Lei Meng 004; Gege Li; Zhaoyang Wang; Haixing Zhao (Int. J. Inf. Commun. Technol. Educ., 2023)

A Novel Link Prediction Framework Based on Gravitational Field. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (Data Sci. Eng., 2023)

GFNC: Unsupervised Link Prediction Based on Gravitational Field and Node Contraction. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004; Yuzhi Xiao (IEEE Trans. Comput. Soc. Syst., 2023)

A Graph Representation Learning Framework Predicting Potential Multivariate Interactions. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (Int. J. Comput. Intell. Syst., 2023)

TP-GCL: graph contrastive learning from the tensor perspective. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yanglin Yang; Shujuan Cao; Yuzhi Xiao; Haixing Zhao (Frontiers Neurorobotics, 2024)

GSGSL: Gravity-driven self-supervised graph structure learning. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yanlin Yang; Shujuan Cao; Yuzhi Xiao; Haixing Zhao (Inf. Process. Manag., 2024)

Line graph contrastive learning for node classification. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yuzhi Xiao; Shujuan Cao; Haixing Zhao (J. King Saud Univ. Comput. Inf. Sci., 2024)

DeepMCGCN: Multi-channel Deep Graph Neural Networks. - Lei Meng 004; Zhonglin Ye; Yanlin Yang; Haixing Zhao (Int. J. Comput. Intell. Syst., 2024)

Graph neural link predictor based on cycle structure. - Yanlin Yang; Zhonglin Ye; Lei Meng 004; Mingyuan Li 002; Haixing Zhao (CAAI Trans. Intell. Technol., 2025)

Self-supervised hypergraph structure learning. - Mingyuan Li 002; Yanlin Yang; Lei Meng 004; Lu Peng; Haixing Zhao; Zhonglin Ye (Artif. Intell. Rev., 2025)