Semantic embedding has been widely investigated for aligning knowledge graph (KG)
entities. Current methods have explored and utilized the graph structure, the entity names …

Embedding-based entity alignment has been widely investigated in recent years, but most
proposed methods still rely on an ideal supervised learning setting with a large number of …

Objectives: Entity alignment (EA) seeks to identify similar real-world objects in different
multilingual knowledge graphs (KGs), also known as ontology alignment. EA assists in …

Abstract Knowledge graphs (KGs) contain rich resources that represent human knowledge
in the world. There are mainly two kinds of reasoning techniques in knowledge graphs …

Numerous knowledge bases have been published on the web, and there are serious
heterogeneous problems among them. Unifying these knowledge bases at the semantic …

Nowadays is essential to able to respond to a new spreading disease in a brief time. For this
reason, a conventional approach is not responsive enough. Drug Repurposing is the …