A vector representation generation method, apparatus and device for a knowledge graph, wherein same relate to the technical field of artificial intelligence. The specific implementation solution is: acquiring a knowledge graph, wherein the knowledge graph comprises a plurality of entity nodes (101); acquiring a context type and context data corresponding to the knowledge graph (102); and generating, according to the context type and the context data and by means of a context model, a vector representation corresponding to the plurality of entity nodes (103). Thus, finer semantic representation of an entity in context is realized, thereby further improving the accuracy of knowledge graph representation learning.

Vector representation generation method, apparatus and device for knowledge graph

The invention provides a knowledge graph vector representation generation method, device and equipment, and relates to the technical field of artificial intelligence, and the specific implementation scheme is that the method comprises the steps: obtaining a knowledge graph, and enabling the knowledge graph to comprise a plurality of entity nodes; obtaining a context type and context data corresponding to the knowledge graph; and generating vector representations corresponding to the plurality of entity nodes through a context model according to the context data and the context type. Therefore,finer semantic representation of the entity in the context is realized, and the knowledge graph representation learning accuracy is further improved.

Huang Pingping

Papers

Knowledge graph vector representation generation method, device and equipment

Vector representation generation method, apparatus and device for knowledge graph