MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules by Yong-Jian Guan, Chang-Qing Yu, Li-Ping Li, Zhu-Hong You, Meng-meng Wei, Xin-Fei Wang, Chen Yang, Lu-Xiang Guo

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KS-CMI: A circRNA-miRNA interaction prediction method based on the signed graph neural network and denoising autoencoder by Xin-Fei Wang, Chang-Qing Yu, Zhu-Hong You, Yan Qiao, Zheng-Wei Li, Wen-Zhun Huang, Ji-Ren Zhou, Hai-Yan Jin

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SGCNCMI: A New Model Combining Multi-Modal Information to Predict circRNA-Related miRNAs, Diseases and Genes by Chang-Qing Yu, Xin-Fei Wang, Li-Ping Li, Zhu-Hong You, Wen-Zhun Huang, Yue-Chao Li, Zhong-Hao Ren, Yong-Jian Guan

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DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis by Zhong-Hao Ren, Zhu-Hong You, Quan Zou, Chang-Qing Yu, Yan-Fang Ma, Yong-Jian Guan, Hai-Ru You, Xin-Fei Wang, Jie Pan

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LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model by Meng-Meng Wei, Chang-Qing Yu, Li-Ping Li, Li-Ping Li, Zhu-Hong You, Zhong-Hao Ren, Yong-Jian Guan, Xin-Fei Wang, Yue-Chao Li

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KGDCMI: A New Approach for Predicting circRNA–miRNA Interactions From Multi-Source Information Extraction and Deep Learning by Xin-Fei Wang, Chang-Qing Yu, Li-Ping Li, Li-Ping Li, Zhu-Hong You, Wen-Zhun Huang, Yue-Chao Li, Zhong-Hao Ren, Yong-Jian Guan

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