Knowledge graph (KG) is playing an important role in many artificial intelligence applications. Representation learning of KGs aims to project both entities and relations into a continuous low-dimensional space. The representation learning technique based on embedding has been used to implement the KG completion. which aims to predict potential triples (head. https://canadabrass.shop/product-category/clothing/