iuui11的博客

文中提到知识图谱模型所面临的问题 a fundamental problem for knowledge graph is predicting the missing links 文中提到这篇文章想要做的工作 However, none of existing models is capable of modeling and inferring all the above patterns. Therefore, we are looking for an approach that is abl

Since most knowledge graphs suffer from incompleteness, predicting missing links between entities has been a fundamental problem. This problem is named as link prediction or knowledge graph completion. 针对这个问题的解决办法 Knowledge graph embedding methods, whi.

文章来源 在open graph benchmark的比赛中,360的模型在数据集ogbl-wikikg2上拿了第一和第三，所以把论文拿过来看看 第一名的文章链接： TripleRE: Knowledge Graph Embeddings via triple Relation Vectors 尝试理解和阅读文章 Introduction 在这里文中提到 Our work mainly lies in the optimization of the Translation distance model.