KNOWLEDGE TRANSFER SYSTEM FOR ACCELERATING INVARIANT NETWORK LEARNING

    公开(公告)号:WO2019032502A1

    公开(公告)日:2019-02-14

    申请号:PCT/US2018/045493

    申请日:2018-08-07

    CPC classification number: H04L63/1425 G06N5/003 G06N5/022 G06N20/00

    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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