公开(公告)号：US20240185033A1

公开(公告)日：2024-06-06

申请号：US18522374

申请日：2023-11-29

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Chanyoung PARK ,  Namkyeong LEE ,  Jun Seok LEE

IPC: G06N3/045

CPC classification number: G06N3/045

Abstract: There is provided a method of training a graph neural network. The method comprises preparing the graph neural network including a first graph neural network and a second graph neural network; generating first node embeddings representing a training graph data as vectors using the first graph neural network; generating second node embeddings representing the training graph data as the vectors using the second graph neural network; generating third node embeddings by projecting a preset predictor onto the first node embeddings; determining a loss function such that a node embedding corresponding to a query node in the training graph data among the third node embeddings and a node embedding corresponding to real positive of the query node among the second node embeddings become close to each other; and training the first graph neural network using the loss function.