Storage medium, prediction device, and prediction method

A non-transitory computer-readable storage medium storing a machine learning program that causes at least one computer to execute a process, the process comprising:

• acquiring information regarding a first triple that includes a first node, a second node, and a first edge that indicates a relationship between the first node and the second node;
• and
• updating a vector of a third node of a plurality of vectors and a vector of a third edge of the plurality of vectors, based on the information and the plurality of vectors, each of the plurality of vectors representing each of a plurality of nodes and each of a plurality of edges that indicate relationships between the plurality of nodes, the plurality of vectors being generated by machine learning that uses the plurality of nodes and the plurality of edges, the third node and the third edge being coupled to the first triple under a certain condition, the certain condition including that a distance from the first triple is equal to or smaller than a certain value when the first triple is added to graph data that includes the plurality of nodes and the plurality of edges, the distance being represented by a number of edges between the first triple and each of the plurality of nodes.