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:
Oct. 11, 2022

Filed:

Oct. 24, 2018
Applicant:

Nec Laboratories America, Inc., Princeton, NJ (US);

Inventors:

Wei Cheng, Princeton Junction, NJ (US);

Haifeng Chen, West Windsor, NJ (US);

Kenji Yoshihira, Princeton Junction, NJ (US);

Wenchao Yu, Albany, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06K 9/6252 (2013.01); G06K 9/627 (2013.01); G06K 9/6215 (2013.01); G06K 9/6251 (2013.01); G06N 3/04 (2013.01); G06N 3/0445 (2013.01); G06N 3/0454 (2013.01); G06N 3/0472 (2013.01); G06N 3/084 (2013.01); G06V 10/454 (2022.01);
Abstract

Methods and systems for embedding a network in a latent space include generating a representation of an input network graph in the latent space using an autoencoder model and generating a representation of a set of noise samples in the latent space using a generator model. A discriminator model discriminates between the representation of the input network graph and the representation of the set of noise samples. The autoencoder model, the generator model, and the discriminator model are jointly trained by minimizing a joint loss function that includes parameters for each model. A final representation of the input network graph is generated using the trained autoencoder model.


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