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:
Oct. 18, 2022

Filed:

May. 29, 2020
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Xu Zheng, Dublin, IE;

Nicholas McCarthy, Dublin, IE;

Jeremiah Hayes, Dublin, IE;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06F 16/28 (2019.01); G06N 20/00 (2019.01); G06N 7/00 (2006.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G06F 21/6254 (2013.01); G06F 16/285 (2019.01); G06N 5/02 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01);
Abstract

A device may generate a synthetic knowledge graph based on a true knowledge graph, may partition the synthetic knowledge graph into a set of synthetic data partitions, and may determine, using a plurality of teacher models, an aggregated prediction. The aggregated prediction may be based on individual predictions from corresponding individual teacher models included in the plurality of teacher models. The device may determine, using a student model and based on the synthetic knowledge graph and noise, a student prediction. The student model may be trained based on historical synthetic knowledge graphs and historical aggregated predictions associated with the plurality of teacher models. The device may determine an error metric based on the aggregated prediction and the student prediction, and may perform an action associated with the synthetic knowledge graph based on the error metric.


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