Knowledge transfer system for accelerating invariant network learning
US10511613B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 6, 2018 |
| Grant date | Dec 17, 2019 |
| Priority date | — |
| Expiry date | Aug 6, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/16
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.