Abstract: Knowledge graphs have been widely used in various domains such as intelligent question answering, information retrieval, transportation, medicine, e-commerce, and others, and have achieved ...

Abstract: Conventional transfer learning offers a feasible solution to address distribution discrepancy by extracting and transferable knowledge from source domains to the target domain. Integrating ...