Method, electronic device, and storage medium for generating node representations in heterogeneous graph

An electronic device, comprising:

• at least one processor;
• and
• a memory connected in communication with the at least one processor;
• wherein,
• the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor are caused to implement a method for generating node representations in a heterogeneous graph, the method comprising:
• acquiring a heterogeneous graph comprising nodes of various types;
• and
• inputting the heterogeneous graph into a heterogeneous graph learning model to generate a node representation of each node in the heterogeneous graph, the heterogeneous graph learning model generating the node representation of each node by the following actions:
• segmenting the heterogeneous graph into a plurality of subgraphs, each subgraph comprising nodes of two types and an edge of one type between the nodes of two types;
• and
• generating the node representation of each node according to the plurality of subgraphs.

A non-transitory computer-readable storage medium storing computer instructions, wherein when the computer instructions are executed, a computer is caused to implement a method for generating node representations in a heterogeneous graph, the method comprising:

• acquiring a heterogeneous graph comprising nodes of various types;
• and
• inputting the heterogeneous graph into a heterogeneous graph learning model to generate a node representation of each node in the heterogeneous graph, the heterogeneous graph learning model generating the node representation of each node by the following actions:
• segmenting the heterogeneous graph into a plurality of subgraphs, each subgraph comprising nodes of two types and an edge of one type between the nodes of two types;
• and
• generating the node representation of each node according to the plurality of subgraphs.