Mingyuan Li

According to our database, Mingyuan Li authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SketchGraphNet: A Memory-Efficient Hybrid Graph Transformer for Large-Scale Sketch Corpora Recognition.

Shilong Chen, Mingyuan Li, Zhaoyang Wang, Zhonglin Ye, Haixing Zhao

CoRR, March, 2026

FDAGCL:Feature Discrepancy-Aware Graph Contrastive Learning.

Bin Yang, Zhaoyang Wang, Xuhao Wei, Mingyuan Li, Yanlin Yang, Zhonglin Ye, Haixing Zhao, Zhen Liu

Neural Process. Lett., February, 2026

GLPACO: Global and local perspective adaptive collaborative optimisation for graph contrastive learning.

Lei Meng, Mingyuan Li, Yanlin Yang, Zhonglin Ye, Haixing Zhao

Expert Syst. Appl., 2026

Unsupervised hyperlink prediction based on hypergraph random walk.

Yanlin Yang, Mingyuan Li, Lei Meng, Yuzhi Xiao, Zhonglin Ye, Haixing Zhao

Complex Intell. Syst., 2026

Multi-scale tree-guided contrastive learning for structure-aware graph representation.

Jiajie Du, Lu Peng, Mingyuan Li, Yanlin Yang, Lei Meng, Haixing Zhao, Zhonglin Ye, Yonghang Wang

Complex Intell. Syst., 2026

2025

Self-supervised hypergraph structure learning.

Mingyuan Li, Yanlin Yang, Lei Meng, Lu Peng, Haixing Zhao, Zhonglin Ye

Artif. Intell. Rev., June, 2025

Generalised tensor-based hypergraph attention network.

Lei Meng, Mingyuan Li, Yanlin Yang, Zhonglin Ye, Haixing Zhao

Knowl. Based Syst., 2025

M2GNN: Multi-Scale Multi-Channel Graph Neural Network.

Bin Yang, Mingyuan Li, Yuzhi Xiao, Haixing Zhao, Zhen Liu, Zhonglin Ye

IEICE Trans. Inf. Syst., 2025

Graph neural link predictor based on cycle structure.

Yanlin Yang, Zhonglin Ye, Lei Meng, Mingyuan Li, Haixing Zhao

CAAI Trans. Intell. Technol., 2025

2024

Line graph contrastive learning for node classification.

Mingyuan Li, Lei Meng, Zhonglin Ye, Yuzhi Xiao, Shujuan Cao, Haixing Zhao

J. King Saud Univ. Comput. Inf. Sci., 2024

Multichannel Adaptive Data Mixture Augmentation for Graph Neural Networks.

Zhonglin Ye, Lin Zhou, Mingyuan Li, Wei Zhang, Zhen Liu, Haixing Zhao

Int. J. Data Warehous. Min., 2024

GSGSL: Gravity-driven self-supervised graph structure learning.

Mingyuan Li, Lei Meng, Zhonglin Ye, Yanlin Yang, Shujuan Cao, Yuzhi Xiao, Haixing Zhao

Inf. Process. Manag., 2024

TP-GCL: graph contrastive learning from the tensor perspective.

Mingyuan Li, Lei Meng, Zhonglin Ye, Yanglin Yang, Shujuan Cao, Yuzhi Xiao, Haixing Zhao

Frontiers Neurorobotics, 2024

2023

LGNN: a novel linear graph neural network algorithm.

Shujuan Cao, Xiaoming Wang, Zhonglin Ye, Mingyuan Li, Haixing Zhao

Frontiers Comput. Neurosci., September, 2023

Multi-scale Heterogeneous Graph Contrastive Learning^*.

Mingyuan Li, Lei Meng, Zhonglin Ye, Haixing Zhao, Yuzhi Xiao, Shujuan Cao

Proceedings of the IEEE International Conference on Big Data, 2023