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:
Mar. 26, 2024

Filed:

Jun. 01, 2022
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Zhanglong Liu, Fremont, CA (US);

Ankan Saha, San Francisco, CA (US);

Yiou Xiao, Sunnyvale, CA (US);

Kathryn L. Evans, San Francisco, CA (US);

Aastha Jain, Sunnyvale, CA (US);

Aastha Nigam, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/901 (2019.01); G06F 16/28 (2019.01); G06N 3/044 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 16/9024 (2019.01); G06F 16/288 (2019.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01);
Abstract

In an example embodiment, a deep learning model is used to learn embedding representations of a heterogeneous information network, where the embedding represents entity-specific properties and network environment properties. Position-aware embeddings specific to the heterogeneous information network may be used as input features of the deep learning model. Furthermore, meta-path embedding specific to the heterogeneous information network may also be used as input features of the deep learning model. Modified embedding propagation methods are further designed to explore better ways to capture network meta-path properties.


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