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. 16, 2021

Filed:

May. 17, 2017
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Aditya Pal, San Jose, CA (US);

Deepayan Chakrabarti, Austin, TX (US);

Karthik Subbian, Cupertino, CA (US);

Anitha Kannan, Saratoga, CA (US);

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 16/901 (2019.01); G06N 3/04 (2006.01); G06N 5/02 (2006.01); G06N 20/10 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 16/9024 (2019.01); G06N 3/0427 (2013.01); G06N 3/0454 (2013.01); G06N 3/0481 (2013.01); G06N 5/022 (2013.01); G06N 3/0472 (2013.01); G06N 20/10 (2019.01);
Abstract

In one embodiment, a system may access a graph data structure that includes nodes and connections between the nodes. Each node may be associated with a user; each connection between two nodes may represent a relationship between the associated users; and each node may be either labeled or unlabeled with respect to a label type. For each labeled node, a label of the label type of that labeled node may be propagated to other nodes through the connections. For each node, the system may store a label distribution information associated with the label type based on the propagated labels reaching the node. The system may train a machine-learning model using the labels and the label distribution information of a set of the labeled nodes. A predicted label for each unlabeled node may be generated using the model and the label distribution information of the unlabeled node.


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