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Method for constructing complex attribute network representation model based on path aggregation

A technology of network representation and construction method, applied in the field of representation learning, which can solve the problem that the attribute information extraction method between types and within types cannot be realized.

Active Publication Date: 2021-02-23
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this patent cannot realize the method of extracting attribute information between types and within types, which not only retains the distinction of different types of attributes, but also obtains the high-order interaction relationship of different types of attributes

Method used

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  • Method for constructing complex attribute network representation model based on path aggregation
  • Method for constructing complex attribute network representation model based on path aggregation
  • Method for constructing complex attribute network representation model based on path aggregation

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Embodiment Construction

[0064] The accompanying drawings are for illustrative purposes only and cannot be construed as limiting the patent;

[0065] In order to better illustrate this embodiment, some parts in the drawings will be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0066] For those skilled in the art, it is understandable that some well-known structures and descriptions thereof may be omitted in the drawings.

[0067] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0068] Such as figure 1 As shown, a method for constructing a complex attribute network representation model based on path aggregation includes the following steps:

[0069] S1: The input of the node attribute embedding module is the attribute of the node in the social network graph, and the output is a set of attribute representation vectors of the node. It can be divided into two steps: th...

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Abstract

The invention provides a method for constructing a complex attribute network representation model based on path aggregation, which utilizes more network information, such as attribute information andglobal structure information of a network, and is finer in processing, and node representation vectors can better represent the action and status of nodes in the network, so that the subsequent data mining task is more efficient and accurate. When the global structure information of the network is captured, the original random walk algorithm is improved, and compared with the prior art, the high efficiency of the random walk algorithm for capturing the information is reserved, and the accuracy of information capturing is improved. When the node attribute information is extracted, compared withthe prior art, the method is finer and more efficient in consideration and design, the inter-type attribute information extraction method and the intra-type attribute information extraction method are provided respectively, the distinction of different types of attributes is reserved, and the high-order interaction relationship of different types of attributes is obtained.

Description

technical field [0001] The present invention relates to the technical field of representation learning, more specifically, to a method for constructing a complex attribute network representation model based on path aggregation. Background technique [0002] Today, the Internet has entered thousands of households. The communication between people is no longer limited to phone calls, text messages, and even face-to-face communication in physical spaces. Being active on major online social platforms has become a part of people's lives. The rise of social networks has brought a lot of data information, but also brought a lot of business opportunities, how to mine potential information from the big data of the network structure is a current research hotspot. [0003] Network representation is one of the important tools to solve data mining problems on the network. Network representation is a method of extracting and representing node information, and mapping each node in the ori...

Claims

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Application Information

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IPC IPC(8): G06F16/9536G06N3/04G06N3/08G06Q50/00
CPCG06F16/9536G06Q50/01G06N3/049G06N3/08G06N3/047G06N3/045
Inventor 印鉴肖想邱爽刘威余建兴
Owner SUN YAT SEN UNIV
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