Method and system for link prediction in large multiplex networks
US11632305B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2021 |
| Grant date | Apr 18, 2023 |
| Priority date | — |
| Expiry date | Jun 25, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/40
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method and a system for using a graph neural network framework to implement a link prediction in a multiplex network environment is provided. The method includes: identifying a plurality of layers of a multiplex network, each respective layer including a respective plurality of nodes; for each node included in at least a first layer, providing, by a structural node label and determining a common embedding across all of the plurality of layers and an individual embedding for each individual layer; using a k-nearest approach to select a subset of the plurality of layers for performing link prediction with respect to each layer based on the determined embeddings; and performing a link prediction by determining a respective feed-forward network with respect to each layer included in the selected subset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.