Graphical structure model-based prevention and control of abnormal accounts
US11223644B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 15, 2021 |
| Grant date | Jan 11, 2022 |
| Priority date | — |
| Expiry date | Apr 15, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A graphical structure model trained with labeled samples is obtained. The graphical structure model is defined based on an account relationship network that comprises a plurality of nodes and edges. The edges correspond to relationships between adjacent nodes. Each labeled sample comprises a label indicating whether a corresponding node is an abnormal node. The graphical structure model is configured to iteratively calculate, for at least one node of the plurality of nodes, an embedding vector in a hidden feature space based on an original feature of the least one node and/or a feature of an edge associated with the at least one node. A first embedding vector that corresponds to a to-be-tested sample is calculated using the graphical structure model. Abnormal account prevention and control is performed on the to-be-tested sample based on the first embedding vector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.