Method and apparatus for determining representation information, device, and storage medium

A computer device, comprising one or more processors and one or more memories, the one or more memories storing at least one computer program, and the at least one computer program being loaded and executed by the one or more processors and causing the computer device to implement a method for determining representation information including:

• obtaining a heterogeneous graph of a target resource service, the heterogeneous graph comprising a plurality of types of nodes, each type of nodes comprising at least one node representing one type of entities in the target resource service, an edge connecting different nodes being for representing an association relationship between entities, entities in the target resource service comprising a media resource, a first-class object, and a second-class object;
• performing graph convolution on the heterogeneous graph through a graph neural network based on a plurality of types of meta-paths of a plurality of nodes in the heterogeneous graph, to obtain initial representation information of a first-class object node corresponding to the first-class object and initial representation information of a second-class object node corresponding to the second-class object;
• and
• fusing the initial representation information of the first-class object node and the initial representation information of the second-class object node based on the edge connecting different nodes in the heterogeneous graph, to obtain target representation information of the first-class object node for recommending media resources to the first-class object.

A non-transitory computer-readable storage medium, storing at least one computer program, the at least one computer program being loaded and executed by a processor of a computer device and causing the computer device to implement a method for determining representation information including:

• obtaining a heterogeneous graph of a target resource service, the heterogeneous graph comprising a plurality of types of nodes, each type of nodes comprising at least one node representing one type of entities in the target resource service, an edge connecting different nodes being for representing an association relationship between entities, entities in the target resource service comprising a media resource, a first-class object, and a second-class object;
• performing graph convolution on the heterogeneous graph through a graph neural network based on a plurality of types of meta-paths of a plurality of nodes in the heterogeneous graph, to obtain initial representation information of a first-class object node corresponding to the first-class object and initial representation information of a second-class object node corresponding to the second-class object;
• and
• fusing the initial representation information of the first-class object node and the initial representation information of the second-class object node based on the edge connecting different nodes in the heterogeneous graph, to obtain target representation information of the first-class object node for recommending media resources to the first-class object.