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

LGNN: a novel linear graph neural network algorithm. - Shujuan Cao; Xiaoming Wang; Zhonglin Ye; Mingyuan Li 002; Haixing Zhao (Frontiers Comput. Neurosci., 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)

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)