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:
Jul. 25, 2023

Filed:

Jul. 15, 2019
Applicant:

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

Inventors:

Darren K. Edge, Cambridge, GB;

Jonathan K. Larson, Seattle, WA (US);

Nathan R. Evans, Bremerton, WA (US);

Christopher M. White, Seattle, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/25 (2019.01); G06F 16/901 (2019.01); H04L 43/08 (2022.01); G06F 16/953 (2019.01); H04L 67/10 (2022.01); H04L 51/42 (2022.01);
U.S. Cl.
CPC ...
G06F 16/254 (2019.01); G06F 16/9024 (2019.01); G06F 16/953 (2019.01); H04L 43/08 (2013.01); H04L 51/42 (2022.05); H04L 67/10 (2013.01);
Abstract

Systems and methods for graph embedding already-collected but not yet connected data are disclosed. A method includes extracting a first set of actor-related data, a second set of object-related data, and a third set of temporal data from a set of the already-collected but not yet connected data representative of a unit-level contribution to the target activity. The method further includes generating graph data for at least one graph having a plurality of nodes and a plurality of edges using the set of the already-collected but not yet connected data, where each of the plurality of nodes corresponds to the actor or the object, and where an attribute associated with each of the plurality of edges corresponds to a measurement associated with the target activity during a temporal dimension of interest. The method further includes converting the graph data into metric space data using a graph embedding process.


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