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. 03, 2026

Filed:

Aug. 09, 2022
Applicant:

Siemens Aktiengesellschaft, Munich, DE;

Inventors:

Martin Ringsquandl, Raubling, DE;

Mitchell Joblin, Surrey, CA;

Aneta Koleva, Munich, DE;

Georgia Olympia Brikis, Plainsboro, NJ (US);

Rakebul Hasan, Landshut, DE;

Marcel Hildebrandt, Munich, DE;

Markus Zechel, Traunstein, DE;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/0455 (2023.01); G06F 16/215 (2019.01);
U.S. Cl.
CPC ...
G06N 3/0455 (2023.01); G06F 16/215 (2019.01);
Abstract

An auto-encoder model processes a datasets describing a physical part from a part catalogue in the form of a property co-occurrence graph is provided, and performs entity resolution and auto-completion on the co-occurrence graph in order to compute a corrected and/or completed dataset. The encoder includes a recurrent neural network and a graph attention network. The decoder contains a linear decoder for numeric values and a recurrent neural network decoder for strings. The auto-encoder model provides an automated end-to-end solution that can auto-complete missing information as well as correct data errors such as misspellings or wrong values. The auto-encoder model is capable of auto-completion for highly unaligned part specification data with missing values.


Find Patent Forward Citations

Loading…