Method and system for optimizing results of a function in a knowledge graph using neural networks
US12079716B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 28, 2020 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Jan 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain aspects of the present disclosure provide techniques for optimizing results generated by functions executed using a rule-based knowledge graph. The method generally includes generating a neural network based on a knowledge graph and inputs for performing a function using the knowledge graph. Inputs for the function are received and used to generate a result of the function. A request to optimize the generated result of the function is received. A loss function is generated for the neural network. Generally, the loss function identifies a desired optimization for the function. Values of parameters in the neural network are adjusted to optimize the generated result based on the generated loss function, and the adjusted values of the parameters in the neural network are output in response to the request to optimize the generated result of the function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.