GCNSDA: Predicting snoRNA-disease associations via graph convolutional network. - Dayun Liu; Yi Luo; Jingjing Zheng; Hanlin Xu; Jiaxuan Zhang; Lei Deng 002 (BIBM, 2021)

LGCMDS: Predicting miRNA-Drug Sensitivity based on Light Graph Convolution Network. - Song Yu; Hanlin Xu; Yizhan Li; Dayun Liu; Lei Deng 002 (BIBM, 2021)

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost. - Dayun Liu; Yibiao Huang; Wenjuan Nie; Jiaxuan Zhang; Lei Deng 002 (BMC Bioinform., 2021)

MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network. - Lei Deng 002; Dayun Liu; Yizhan Li; Runqi Wang; Junyi Liu; Jiaxuan Zhang; Hui Liu 026 (BMC Bioinform., 2022)

MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network. - Dayun Liu; Junyi Liu; Yi Luo; Qihua He; Lei Deng 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network. - Dayun Liu; Xianghui Li; Liangliang Zhang; Xiaowen Hu; Jiaxuan Zhang; Zhirong Liu; Lei Deng 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations. - Xiaowen Hu; Dayun Liu; Jiaxuan Zhang; Yanhao Fan; Tianxiang Ouyang; Yue Luo; Yuanpeng Zhang; Lei Deng 002 (Briefings Bioinform., 2023)

IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network. - Xiaowen Hu; Pan Zhang; Dayun Liu; Jiaxuan Zhang; Yuanpeng Zhang; Yihan Dong; Yanhao Fan; Lei Deng 002 (Briefings Bioinform., 2024)