Deep graph representation learning
US11232355B2 · kind B2 · utility
2Cited by
1References
20Claims
0Family size
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Key dates
| Filing date | Nov 11, 2019 |
| Grant date | Jan 25, 2022 |
| Priority date | — |
| Expiry date | Nov 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/426
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of deep graph representation learning includes: deriving a set of base features; and automatically developing, by a processing device, a multi-layered hierarchical graph representation based on the set of base features, wherein each successive layer of the multi-layered hierarchical graph representation leverages an output from a previous layer to learn features of a higher-order.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.