Generating neighborhood convolutions according to relative importance
US11227014B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 12, 2019 |
| Grant date | Jan 18, 2022 |
| Priority date | — |
| Expiry date | Apr 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for generating embeddings for nodes of a corpus graph are presented. More particularly, embedding information of a target node may be based on the node itself, as well as related, relevant nodes to the target node within a corpus graph. The information of various nodes among the relevant nodes to the target node can be used to weight or influence the embedding information. Disclosed systems and methods include generating neighborhood embedding information for a target node, where the neighborhood embedding information includes embedding information from neighborhood nodes of the target node's relevant neighborhood, and where certain nodes having more relevance to the target node can be weighted to influence the generation of the neighborhood embedding information over nodes having less relevance to the target node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.