we propose an improved knowledge representation learning model Cluster TransD and a recommendation model Cluster TransD-GAT based on knowledge graph and graph attention networks, where the Cluster Tra
<p>Reimplementation of four KG factorization methods and six negative sampling methods.</p> <strong> Abstract </strong> </p> Knowledge graphs are large, useful, but i
With the growing prevalence of the Internet, abusive behaviors on online platforms have surged in recent decades. These online abusers take advantage of the popularity and conveniences of online platf
More and more clinical observations have implied that microbes have great effects on human diseases. Understanding the relations between microbes and diseases are of profound significance for disease
