In addition, existing studies on negative sampling for graphs only fuse the sampling results into the loss function for the model training. In this paper, we propose a Negative Samples-enhanced Graph ...

Knowledge Graph Embedding (KGE) plays a dominant role in the study of Knowledge Graph (KG). Although KGE has received special concern in recent years, it is still in its infancy and many reported ...

In this paper, we propose a novel integrated framework for cancer clustering known as the non-negative symmetric low-rank representation with graph regularization based on score function (NSLRG-S).