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:
Jan. 24, 2023

Filed:

Aug. 26, 2019
Applicant:

Siemens Aktiengesellschaft, Munich, DE;

Inventors:

Palash Goyal, Los Angeles, CA (US);

Sujit Rokka Chhetri, Irvine, CA (US);

Arquimedes Martinez Canedo, Plainsboro, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6296 (2013.01); G06K 9/62 (2013.01); G06K 9/6224 (2013.01); G06K 9/6269 (2013.01); G06K 9/6274 (2013.01); G06N 3/08 (2013.01);
Abstract

Methods and systems for dynamic network link prediction include generating a dynamic graph embedding model for capturing temporal patterns of dynamic graphs, each of the graphs being an evolved representation of the dynamic network over time. The dynamic graph embedding model is configured as a neural network including nonlinear layers that learn structural patterns in the dynamic network. A dynamic graph embedding learning by the embedding model is achieved by optimizing a loss function that includes a weighting matrix for weighting reconstruction of observed edges higher than unobserved links. Graph edges representing network links at a future time step are predicted based on parameters of the neural network tuned by optimizing the loss function.


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