Artificial intelligence techniques utilizing a generative relational network
US12361263B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 22, 2024 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | Oct 22, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for identifying relationships using relational networks. A method includes applying a generative relational network (GRN) in order to create a model of relationships between entities. The GRN includes multiple sets of nodes, where each set of nodes includes a respective set of machine learning models. The sets of nodes include dominance factor nodes and evolution of internal component nodes, where the dominance factor nodes define a dominance factor based on change intensity and change frequency, and the evolution of internal component nodes define evolution with respect to changes over time. Relationships among the entities are simulated using the model, and at least a portion of the relationships are eliminated for a target interaction based on the simulation results. The remaining relationships are tested with respect to the target interaction in order to identify the target interaction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.