DSKG: A Deep Sequential Model for Knowledge Graph Completion

30 Oct 2018Lingbing GuoQingheng ZhangWeiyi GeWei HuYuzhong Qu

Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of $(subject, relation, object)$. Current KG completion models compel two-thirds of a triple provided (e.g., $subject$ and $relation$) to predict the remaining one... (read more)

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