Generating neighborhood convolutions within a large network
US11922308B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 17, 2022 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Jan 17, 2042 |
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, operations for generation of an aggregated embedding vector for a target node is efficiently divided among operations on a central processing unit and operations on a graphic processing unit. With regard to a target node within a corpus graph, processing by one or more central processing units (CPUs) is conducted to identify the target node's relevant neighborhood (of nodes) within the corpus graph. This information is prepared and passed to one or more graphic processing units (GPUs) that determines the aggregated embedding vector for the target node according to data of the relevant neighborhood of the target node.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.