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:
Feb. 10, 2026

Filed:

Mar. 02, 2023
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Piyush Chawla, Columbus, OH (US);

Liang Gou, San Jose, CA (US);

Huan Song, San Jose, CA (US);

Thang Doan, Santa Clara, CA (US);

Liu Ren, Saratoga, CA (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/74 (2022.01); G06V 10/84 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/761 (2022.01); G06V 10/84 (2022.01);
Abstract

A method for training a model for determining graph similarity is disclosed. The method comprises receiving a first graph and a second graph as training inputs, the first graph and the second graph each including nodes connected by edges. The method further comprises applying a model to the first graph and the second graph to determine (i) pairs of aligned nodes between the first graph and the second graph and (ii) a first training loss. The method further comprises generating a first augmented graph by modifying the first graph depending on the pairs of aligned nodes. The method further comprises applying the model to the first graph and the first augmented graph to determine a second training loss. The method further comprises refining the model based on the first training loss and the second training loss.


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