Abnormal node recognition method and device, model training method and device and storage medium

A technology for identifying models and training methods, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems affecting downstream tasks, incomplete or incomplete associated networks, and unsatisfactory node representations

Pending Publication Date: 2021-09-07
CHINA UNIONPAY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in reality, due to the influence of missing information and noisy connections, the edges of the constructed association network are likely to be incomplete or not all real.
This can easily lead to graph computing methods obtaining unsatis

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  • Abnormal node recognition method and device, model training method and device and storage medium
  • Abnormal node recognition method and device, model training method and device and storage medium
  • Abnormal node recognition method and device, model training method and device and storage medium

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Embodiment Construction

[0045] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0046] In the description of the embodiments of the present application, it should be understood that terms such as "comprising" or "having" are intended to indicate the existence of the features, numbers, steps, acts, components, parts or combinations thereof disclosed in the specification, and do not It is intended to exclude the possibility of the existence of one or more other features, figures, steps, acts, parts, parts or comb...

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Abstract

The invention provides an abnormal node recognition method, an abnormal node recognition model training method, an abnormal node recognition model training device, an abnormal node recognition model training system and a storage medium, the abnormal node recognition model training method comprises the following steps: constructing an explicit association graph based on an explicit association relationship between transaction elements, the transaction elements at least comprising a transaction account; constructing an implicit association graph based on the similarity among the plurality of transaction accounts, wherein the similarity among the plurality of transaction accounts is calculated according to the historical transaction data of the plurality of transaction accounts; fusing the explicit association graph and the implicit association graph to obtain an association graph taking the transaction account as a node; and training a graph neural network based on the features and labels of each transaction account and the association graph to obtain an abnormal node recognition model. By means of the method, the complete and high-accuracy association graph structure can be constructed, and the recognition effect of the node recognition model is improved.

Description

technical field [0001] The invention belongs to the field of node identification, and in particular relates to an abnormal node identification method, a model training method, a device and a storage medium. Background technique [0002] This section is intended to provide a background or context for implementations of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] In recent years, there have been a large number of fraudulent transactions in online transaction payments, such as counterfeit registration transactions, which have brought considerable losses to users. In order to improve the level of preventing fraudulent transaction risks in online transaction payments, efficient and automatic detection of counterfeit registered transaction cards has been carried out, and risk disposal of suspected counterfeit registered bank cards output by the model has been carried out. [0004] I...

Claims

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Application Information

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IPC IPC(8): G06Q40/02G06Q40/04G06Q20/38G06Q20/40G06F16/36G06K9/62G06N3/04G06N3/08
CPCG06Q40/02G06Q40/04G06Q20/389G06Q20/401G06F16/367G06N3/04G06N3/08G06F18/22G06F18/214
Inventor 庞悦李晓刚杜星波汤韬高鹏飞郑建宾
Owner CHINA UNIONPAY
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