Bayesian graph convolutional neural networks
US11531886B2 · kind B2 · utility
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Key dates
| Filing date | Nov 26, 2019 |
| Grant date | Dec 20, 2022 |
| Priority date | — |
| Expiry date | Jul 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/082
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Method and system for predicting labels for nodes in an observed graph, including deriving a plurality of random graph realizations of the observed graph; learning a predictive function using the random graph realizations; predicting label probabilities for nodes of the random graph realizations using the learned predictive function; and averaging the predicted label probabilities to predict labels for the nodes of the observed graph.
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