Graph neural network for signal processing
US12314835B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 15, 2021 |
| Grant date | May 27, 2025 |
| Priority date | — |
| Expiry date | Jan 25, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Creating a machine learning graph neural network configured to process signals. A method includes identifying a plurality of machine learning graphs where each of the machine learning graphs are for different types of data. The method further includes receiving input identifying shared content of different machine learning graph nodes from different graphs in the plurality of machine learning graphs. The method further includes creating a combined machine learning graph neural network, configured to process signals, using the plurality of machine learning graphs based on the shared content, the combined machine learning graph neural network comprising nodes corresponding to nodes in the plurality of machine learning graphs such that output from the combined machine learning graph neural network comprises outputs generated based on relationships of nodes in the combined machine learning graph corresponding to nodes in different machine learning graphs in the plurality of machine learning graphs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.