We present a machine learning framework to automate knowledge discovery through
knowledge graph construction, inconsistency resolution, and iterative link prediction. By …

Abstract Knowledge graph intent graph attention mechanism Predicting drug-target
interactions (DTIs) plays a crucial role in drug discovery and drug development. Considering …

Biomedical knowledge graphs (BKGs) have emerged as powerful tools for organizing and
leveraging the vast and complex data found across the biomedical field. Yet, current reviews …

Over the past decade, there has been substantial growth in both the quantity and complexity
of available biomedical data. In order to more efficiently harness this extensive data and …

Cancer metastasis is the dissemination of tumor cells from the primary tumor site to other
parts of the body via the lymph system or bloodstream. Metastasis is the leading cause of …

Background Cancer patients with metastasis face a much lower survival rate and a higher
risk of recurrence than those without metastasis. So far, several learning methods have been …

In the dynamic landscape of life sciences data, the inherent noise and lack of machine-
friendliness present significant challenges. The pressing need arises to transform this …