Before revision:  Predicting miRNA-disease associations and types is critical to understand the underlying pathogenesis of human diseases from the molecular level . Results: In this paper, we formulate the problem as a link prediction in knowledge graphs.
After revision:  Predicting miRNA-disease association exists or not. However, the roles of miRNAs in diseases are prominently diverged, for instance, Genetic variants of microRNA (mir-15) may affect expression level of miRNAs leading to B cell chronic lymphocytic leukemia, while circulating miRNAs (including mir-1246, mir-1307-3p, etc.) have potentials to detecting breast cancer in the early stage. In this paper, we formulate the problem as a link prediction in knowledge graphs.