Monthly Archives: January 2022

Our matrix/tensor joint decomposition model is published in JBI

We published the JDHMT model in JBI. https://www.sciencedirect.com/science/article/pii/S1532046421003026 Highlights（论文亮点） We propose a typical knowledge form in multi-relational heterogeneous graph, i.e., (gene/disease, uni-relation, other heterogeneous entity), (gene, multi-relation, disease), where a relatively sparse multi-relation knowledge between gene and disease is preserved. (我们在多关系异构图中提出了一种典型的知识形式，即（基因/疾病，单关系，其他异构实体），（基因，多关系，疾病），其中基因之间相对稀疏的多关系知识和 疾病得以保存。) 2. We curate human genes and diseases in seven mainstream datasets and construct a massiveContinueContinue reading “Our matrix/tensor joint decomposition model is published in JBI”