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2020 – today
- 2024
[j6]Mingjing Han, Han Zhang
:
KAGNN: Graph neural network with kernel alignment for heterogeneous graph learning. Knowl. Based Syst. 289: 111561 (2024)- [c3]Yuanxiang Jiang, Mingjing Han, Yanbin Yin, Han Zhang:
TMGE: a multi-view graph embedding model for prediction task of genes associated with neurodegenerative diseases. BIBM 2024: 950-955 - 2023
- [j5]Mingjing Han, Han Zhang, Wei Li, Yanbin Yin:
Semantic-guided graph neural network for heterogeneous graph embedding. Expert Syst. Appl. 232: 120810 (2023) - [j4]Mengyao He, Qingqing Zhao, Han Zhang, Chuanze Kang, Wei Li, Mingjing Han:
Graph representation learning via redundancy reduction. Neurocomputing 533: 161-177 (2023) - [j3]Qingqing Zhao, Han Zhang, Mengyao He, Wei Li, Chuanze Kang, Mingjing Han:
Graph pooling via Dual-view Multi-level Infomax. Knowl. Based Syst. 260: 110089 (2023) - [c2]Xiongwen Quan, Mingjing Han, Xia Guo, Zeyuan Li, Han Zhang, Yanbin Yin:
Unsupervised Feature Selection by Fusing Spectral Clustering and Locality Preserving Projection. BIBM 2023: 1400-1405 - [c1]Mingjing Han, Yanbin Yin, Han Zhang, Huan Wang:
Hierarchical Semantic Augmentation Graph Neural Network for Drug-Disease Association Prediction. BIBM 2023: i-viii - 2022
- [j2]Wei Li, Han Zhang, Minghe Li, Mingjing Han, Yanbin Yin:
MGEGFP: a multi-view graph embedding method for gene function prediction based on adaptive estimation with GCN. Briefings Bioinform. 23(5) (2022) - [j1]Mingjing Han, Han Zhang:
Multiple kernel learning for label relation and class imbalance in multi-label learning. Inf. Sci. 613: 344-356 (2022)
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