Despite the success of above methods in learning knowledge representations, most of them mainly consider knowledge base as a set of triples and models each triple separately and independently.
in reality, triples are connected to each other and the whole knowledge base could be regarded as a directed graph consisting of vertices (i.e., entities) and directed edges (i.e., relations).