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Graph data classification model training method and device, equipment and storage medium

A classification model and training method technology, applied in the field of artificial intelligence, can solve problems such as over-smoothing and affect the performance of graph data classification models, achieve accurate and fast training, avoid over-smoothing problems, and improve classification performance.

Inactive Publication Date: 2021-12-21
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when using the graph data classification model to classify graph data, as the number of model layers increases, there will be an over-smoothing problem, which will affect the performance of the graph data classification model.

Method used

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  • Graph data classification model training method and device, equipment and storage medium
  • Graph data classification model training method and device, equipment and storage medium
  • Graph data classification model training method and device, equipment and storage medium

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Embodiment Construction

[0068] In order to make the purpose, technical solutions and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. All other embodiments obtained under the premise of creative labor belong to the scope of protection of this application.

[0069] In the following description, the terms "first\second" are only used to distinguish similar objects, and do not represent a specific order for objects. Understandably, "first\second" can be The specific order or sequencing is interchanged such that the embodiments of the application described herein can be practiced in other sequences than illustrated or described herein.

[0070] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used herein are only for the purpose of describing the embo...

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Abstract

The invention provides a graph data classification model training method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring an initial adjacent matrix corresponding to a plurality of edges in a graph data sample; carrying out relevance sampling processing on the initial adjacent matrixes corresponding to the plurality of edges to obtain a sampling adjacent matrix; performing feature extraction processing on the graph data sample based on the sampling adjacency matrix to obtain graph data features of the graph data sample; and training a graph data classification model based on the graph data features of the graph data samples, wherein the trained graph data classification model is used for performing type prediction processing on the to-be-classified graph data to obtain the type to which the to-be-classified graph data belongs. According to the invention, the classification performance of the graph data classification model can be improved.

Description

technical field [0001] The present application relates to artificial intelligence technology, and in particular to a training method, device, electronic equipment and computer-readable storage medium for a graph data classification model based on artificial intelligence. Background technique [0002] Artificial Intelligence (AI) is a comprehensive technology of computer science. By studying the design principles and implementation methods of various intelligent machines, the machines have the functions of perception, reasoning and decision-making. Artificial intelligence technology is a comprehensive subject that involves a wide range of fields, such as natural language processing technology and machine learning / deep learning. With the development of technology, artificial intelligence technology will be applied in more fields and play an increasingly important role. increasingly important value. [0003] Graph data has a long history of helping humans communicate, understa...

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/22G06F18/24G06F18/214
Inventor 荣钰韩家琦徐挺洋黄文炳
Owner TENCENT TECH (SHENZHEN) CO LTD