MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN. - Wei Li 184; Han Zhang 017; Minghe Li; Mingjing Han; Yanbin Yin (Briefings Bioinform., 2022)

Multiple kernel learning for label relation and class imbalance in multi-label learning. - Mingjing Han; Han Zhang 017 (Inf. Sci., 2022)

Hierarchical Semantic Augmentation Graph Neural Network for Drug-Disease Association Prediction. - Mingjing Han; Yanbin Yin; Han Zhang 017; Huan Wang (BIBM, 2023)

Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection. - Xiongwen Quan; Mingjing Han; Xia Guo; Zeyuan Li; Han Zhang 017; Yanbin Yin (BIBM, 2023)

Graph representation learning via redundancy reduction. - Mengyao He; Qingqing Zhao; Han Zhang 017; Chuanze Kang; Wei Li 184; Mingjing Han (Neurocomputing, 2023)

Graph pooling via Dual-view Multi-level Infomax. - Qingqing Zhao; Han Zhang 017; Mengyao He; Wei Li 184; Chuanze Kang; Mingjing Han (Knowl. Based Syst., 2023)

Semantic-guided graph neural network for heterogeneous graph embedding. - Mingjing Han; Han Zhang 017; Wei Li 184; Yanbin Yin (Expert Syst. Appl., 2023)

TMGE: a multi-view graph embedding model for prediction task of genes associated with neurodegenerative diseases. - Yuanxiang Jiang; Mingjing Han; Yanbin Yin; Han Zhang 017 (BIBM, 2024)

KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning. - Mingjing Han; Han Zhang 017 (Knowl. Based Syst., 2024)