The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 06, 2026

Filed:

Sep. 06, 2021
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Huajun Chen, Hangzhou, CN;

Wen Zhang, Hangzhou, CN;

Ganqiang Ye, Hangzhou, CN;

Assignee:

ZHEJIANG UNIVERSITY, Hangzhou, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/36 (2019.01); G06F 40/30 (2020.01); G06N 5/022 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/36 (2019.01); G06F 16/367 (2019.01); G06F 40/30 (2020.01); G06N 5/022 (2013.01);
Abstract

Disclosed in the present invention is a knowledge graph pre-training method based on structural context information, the method comprising: for a target triple, constructing an instance comprising context triples, and adopting a triple integration module to encode each of the context triples in the instance to obtain an integration vector; combining the integration vectors for all context triples in the instance into a context vector sequence, and adopting a structural information module to encode the context vector sequence to obtain a structural representation vector for the triple; adopting a general task module to calculate the structural representation vector for the triple, and obtaining a label prediction value for the triples, updating the structural representation vector for the triple based on cross-entropy loss of the label prediction value for the triple and a label truth value for the triple until the completion of the training, so as to obtain an optimized structural representation vector for the target triple. The structural representation vector for the triple obtained by this method incorporates the context information.


Find Patent Forward Citations

Chen, Huajun. (2026). Knowledge graph pre-training method based on structural context information (U.S. Patent No. 12518208). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12518208

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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