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:
Dec. 20, 2022

Filed:

Nov. 26, 2019
Applicants:

Yingxue Zhang, Montreal, CA;

Soumyasundar Pal, Montreal, CA;

Mark Coates, Montreal, CA;

Deniz Ustebay, Westmount, CA;

Inventors:

Yingxue Zhang, Montreal, CA;

Soumyasundar Pal, Montreal, CA;

Mark Coates, Montreal, CA;

Deniz Ustebay, Westmount, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06K 9/6226 (2013.01); G06K 9/6296 (2013.01); G06N 3/04 (2013.01);
Abstract

Method and system for predicting labels for nodes in an observed graph, including deriving a plurality of random graph realizations of the observed graph; learning a predictive function using the random graph realizations; predicting label probabilities for nodes of the random graph realizations using the learned predictive function; and averaging the predicted label probabilities to predict labels for the nodes of the observed graph.


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Zhang, Yingxue. (2022). Bayesian graph convolutional neural networks (U.S. Patent No. 11531886). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11531886

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