公开(公告)号：US20240403601A1

公开(公告)日：2024-12-05

申请号：US18675444

申请日：2024-05-28

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Joyce Jiyoung WHANG ,  Jaejun LEE ,  Changyoung CHUNG

IPC: G06N3/042

Abstract: Disclosed is an inductive knowledge graph embedding method and system through a relation graph. An inductive knowledge graph embedding method performed by a knowledge graph embedding system may include training a graph neural network-based knowledge graph embedding model using a knowledge graph and a relation graph generated from the knowledge graph; and performing link prediction for the knowledge graph that includes a new relation and a new entity through the trained graph neural network-based knowledge graph embedding model.

公开(公告)号：US20240119313A1

公开(公告)日：2024-04-11

申请号：US18378491

申请日：2023-10-10

Applicant: SAMSUNG SDS CO., LTD. ,  KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Joyce Jiyoung WHANG ,  Chanyoung CHUNG ,  Jaejun LEE

IPC: G06N5/022

CPC classification number: G06N5/022

Abstract: Provided is a method for embedding a knowledge graph. The method includes: obtaining a basic knowledge instance and a qualifier instance associated with the basic knowledge instance, wherein at least one of the basic knowledge instance or the qualifier instance comprises a mask element; generating, through an embedder, a first instance embedding corresponding to the basic knowledge instance and a second instance embedding corresponding to the qualifier instance; and performing a prediction of the mask element by inputting, to a predictor, an instance embedding associated with the mask element, wherein the instance embedding corresponds to the first instance embedding or the second instance embedding.