Therefore, this paper proposes a mapping matrix based learning method for temporal knowledge graph representation. In this method, temporal information is represented by vector, which is used to ...

Low-rank self-representation based subspace learning has confirmed its great effectiveness in a broad range of applications. Nevertheless, existing studies mainly focus on exploring the global linear ...