Theory and Applications of Graph Neural Networks in Knowledge Acquisition. - Lining Yuan; Yang Wang; Zhao Liu (MSIE, 2020)

Semi-AttentionAE: An Integrated Model for Graph Representation Learning. - Lining Yuan; Yang Wang; Xianggui Cheng; Zhao Liu (IEEE Access, 2021)

G-MLP: Graph Multi-Layer Perceptron for Node Classification Using Contrastive Learning. - Lining Yuan; Ping Jiang; Wenlei Hou; Wanyan Huang (IEEE Access, 2024)

Improving Variational Graph Autoencoders With Multi-Order Graph Convolutions. - Lining Yuan; Ping Jiang; Zhu Wen; Jionghui Li (IEEE Access, 2024)

G-KAN: Graph Kolmogorov-Arnold Network for Node Classification Using Contrastive Learning. - Lining Yuan (IEEE Access, 2025)