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:
Aug. 04, 2026

Filed:

Oct. 18, 2024
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Zijia Wang, London, GB;

Qiang Chen, Shanghai, CN;

Jing Yu, Shanghai, CN;

Zhen Jia, Shanghai, CN;

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06F 16/16 (2019.01); G06F 16/901 (2019.01); G06N 3/042 (2023.01); G06N 3/088 (2023.01);
U.S. Cl.
CPC ...
G06F 16/288 (2019.01); G06F 16/16 (2019.01); G06F 16/9024 (2019.01); G06N 3/042 (2023.01); G06N 3/088 (2013.01);
Abstract

Methods, apparatus, and processor-readable storage media for performing digital file analysis using graph-based representations and machine learning techniques are provided herein. An example computer-implemented method includes segmenting at least one digital file into multiple variable-sized portions; determining one or more content-based relationships across at least a portion of the multiple variable-sized portions of the at least one digital file; generating at least one graph representation of the at least one digital file based on the one or more content-based relationships and the at least a portion of the multiple variable-sized portions of the at least one digital file; processing one or more portions of the at least one graph representation using one or more machine learning techniques; and analyzing the at least one digital file based on results of processing the one or more portions of the at least one graph representation using the one or more machine learning techniques.


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