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US Patent 10511613 Knowledge transfer system for accelerating invariant network learning

Patent 10511613 was granted and assigned to NEC on December, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Nec Laboratories America, Inc.
Nec Laboratories America, Inc.
Current Assignee
NEC
NEC
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10511613
Patent Inventor Names
Chen Luo0
LuAn Tang0
Zhengzhang Chen0
Zhichun Li0
Date of Patent
December 17, 2019
Patent Application Number
16055675
Date Filed
August 6, 2018
Patent Citations Received
‌
US Patent 11522881 Structural graph neural networks for suspicious event detection
0
Patent Primary Examiner
‌
Brendan Y Higa
Patent abstract

A computer-implemented method for implementing a knowledge transfer based model for accelerating invariant network learning is presented. The computer-implemented method includes generating an invariant network from data streams, the invariant network representing an enterprise information network including a plurality of nodes representing entities, employing a multi-relational based entity estimation model for transferring the entities from a source domain graph to a target domain graph by filtering irrelevant entities from the source domain graph, employing a reference construction model for determining differences between the source and target domain graphs, and constructing unbiased dependencies between the entities to generate a target invariant network, and outputting the generated target invariant network on a user interface of a computing device.

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