The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 13, 2022

Filed:

Feb. 28, 2020
Applicant:

Advanced New Technologies Co., Ltd., Grand Cayman, KY;

Inventors:

Le Song, Hangzhou, CN;

Hui Li, Hangzhou, CN;

Zhibang Ge, Hangzhou, CN;

Xin Huang, Hangzhou, CN;

Chunyang Wen, Hangzhou, CN;

Lin Wang, Hangzhou, CN;

Tao Jiang, Hangzhou, CN;

Yiguang Wang, Hangzhou, CN;

Xiaofu Chang, Hangzhou, CN;

Guanyin Zhu, Hangzhou, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06F 16/23 (2019.01); G06N 3/04 (2006.01); G06Q 20/40 (2012.01); G06Q 40/02 (2012.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 16/2365 (2019.01); G06F 16/2379 (2019.01); G06N 3/04 (2013.01); G06N 3/0481 (2013.01); G06Q 20/4016 (2013.01); G06Q 40/02 (2013.01);
Abstract

One or more implementations of the present specification provide risk control of transactions based on a graphical structure model. A graphical structure model trained by using labeled samples is obtained. The graphical structure model is defined based on a transaction data network that includes nodes representing entities in a transaction and edges representing relationships between the entities. Each labeled sample includes a label indicating whether a node corresponding to the labeled sample is a risky transaction node. The graphical structure model is configured to iteratively calculate an embedding vector of the node in a latent feature space based on an original feature of the node or a feature of an edge associated with the node. An embedding vector of an input sample is calculated by using the graphical structure model. Transaction risk control is performed on the input sample based on the embedding vector.


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