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[1] 李政伟,万立鹏,王磊,王文静,聂茹.HHOMR: a hybrid high-order moment residual model for miRNA-disease association prediction,2024,卷: 25期: 5
[2] Wang, Wenjing,Han, Pengyong,李政伟,聂茹,Wang, Kangwei,王磊,廖红梅.LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations,2024,卷: 21期: 2页: 289-300
[3] Ren, Zhong-Hao,Yu, Chang-Qing,Li, Li-Ping,You, Zhu-Hong,李政伟,Zhang, Shan-Wen,Zeng, Xiangxiang,Shang, Yi-Fan.SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution,2024,v 64,n 1,p238-249
[4] Wang, Xin-Fei,Yu, Chang-Qing,You, Zhu-Hong,Qiao, Yan,李政伟,Huang, Wen-Zhun.An efficient circRNA-miRNA interaction prediction model by combining biological text mining and wavelet diffusion-based sparse network structure embedding,2023,v 165,
[5] Wang, Xin-Fei,Yu, Chang-Qing,You, Zhu-Hong,Qiao, Yan,李政伟,Huang, Wen-Zhun,Zhou, Ji-Ren,Jin, Hai-Yan.KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder,2023,卷: 26期: 6
[6] Zhao, Huan,李政伟,You, Zhu-Hong,聂茹,Zhong, Tangbo.Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks,2023,卷: 20期: 2页: 1298-1307
[7] 王康威,李政伟,You, Zhu-Hong,Han, Pengyong,聂茹.Adversarial dense graph convolutional networks for single-cell classification,2023,卷: 39期: 2
[8] 李政伟,李佳树,尤著宏,聂茹,赵欢,钟堂波.基于异质图注意力网络的miRNA与疾病关联预测算法,2022,2022年06期:1428-1435,8
[9] 李政伟,Li, Jia-Shu,You, Zhu-Hong,聂茹,Zhao, Huan,Zhong, Tang-Bo.Associations Prediction Algorithm of MiRNAs and Diseases Based on Heterogeneous Graph Attention Network,2022,v 50,n 6,p1428-1435
[10] 基于异质图注意力网络的miRNA与疾病关联预测算法.电子学报,2022,50(6):1428-1435

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