Invention Grant
- Patent Title: Knowledge transfer system for accelerating invariant network learning
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Application No.: US16055675Application Date: 2018-08-06
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Publication No.: US10511613B2Publication Date: 2019-12-17
- Inventor: Zhengzhang Chen , LuAn Tang , Zhichun Li , Chen Luo
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: JP
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP
- Agent Joseph Kolodka
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L12/24

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.
Public/Granted literature
- US20180351971A1 KNOWLEDGE TRANSFER SYSTEM FOR ACCELERATING INVARIANT NETWORK LEARNING Public/Granted day:2018-12-06
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