Prediction of miRNA-disease association based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution.

Making the accurate prediction of miRNA-disease associations essential for medical interventions. Current computational models often fail to capture the complexity of miRNA-disease associations. This study proposes HHMDA, a method based on heterogeneous hypergraph convolution and heterogeneous graph multi-scale convolution, to predict the association between miRNA and disease.