[Objective] This paper constructs a cross-platform semantic knowledge graph with whole
datasets, which helps us find novel drug knowledge.[Methods] First, we developed a new …

Drug repositioning is a strategy of repurposing approved drugs for treating new indications,
which can accelerate the drug discovery process, reduce development costs, and lower the …

Drug repositioning/repurposing is a very important approach towards identifying novel
treatments for diseases in drug discovery. Recently, large-scale biological datasets are …

Drug repositioning is a faster and more affordable solution than traditional drug discovery
approaches. From this perspective, computational drug repositioning using knowledge …

Motivation While link prediction methods in knowledge graphs have been increasingly
utilized to locate potential associations between compounds and diseases, they suffer from …

Drug repositioning-a promising strategy for discovering new therapeutic uses for existing
drugs-has been increasingly explored in the computational science literature using …

Drug repurposing (DR) based on knowledge graphs (KGs) is challenging, which uses
knowledge graph reasoning models to predict new therapeutic pathways for existing drugs …

Drug repurposing is more relevant than ever due to drug development's rising costs and the
need to respond to emerging diseases quickly. Knowledge graph embedding enables drug …

Drug repositioning, the identification of novel uses of existing therapies, has become an
attractive strategy to accelerate drug development. Knowledge graphs (KGs) have emerged …

Millions of Americans are affected by rare diseases, many of which have poor survival rates.
However, the small market size of individual rare diseases, combined with the time and …