MGCNSS: miRNA–disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy
Zhen Tian,
Chenguang Han,
Lewen Xu
et al.
Abstract:Identifying disease-associated microRNAs (miRNAs) could help understand the deep mechanism of diseases, which promotes the development of new medicine. Recently, network-based approaches have been widely proposed for inferring the potential associations between miRNAs and diseases. However, these approaches ignore the importance of different relations in meta-paths when learning the embeddings of miRNAs and diseases. Besides, they pay little attention to screening out reliable negative samples which is crucial… Show more
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