基于超图神经网络的跨域自然语言生成SQL语句分析  

Analysis of SQL Statements Generated by Cross Domain Natural Language Based on Hypergraph Neural Network

作　　者：阳鸿祥 左楷 YANG Hongxiang;ZUO Kai(College of Science,Hunan University of Science and Engineering,Yongzhou Hunan 425199)

机构地区：[1]湖南科技学院理学院,湖南永州425199

出　　处：《软件》2024年第10期163-165,共3页Software

摘　　要：基于超图神经网络跨域自然语言生成SQL语句分析涉及超图神经网络(HGNN)技术处理以及生成跨域SQL查询语句,其中超图神经网络主要利用捕捉数据库架构的方式进行分析,了解其与自然语言的内在关联信息,通过此种方式进行处理可以有效提高模型生产质效。为了有效提高超图神经网络的跨域自然语言生成SQL语句分析效率,本文分析超图神经网络以及跨域自然语言生成SQL语句的相关内容,了解关键技术,探究超图神经网络的跨域自然语言生成SQL语句分析应用,以供参考。The analysis of SQL statements generated from cross domain natural language based on Hypergraph neural network involves the hypergraph neural network(hgnn)technology processing and the generation of cross domain SQL query statements.The hypergraph neural network is mainly used to capture the database architecture for analysis and understand the internal correlation information between it and natural language.Processing in this way can effectively improve the quality and efficiency of model production.In order to effectively improve the analysis efficiency of hypergraph neural network for cross domain natural language generated SQL statements,this paper analyzes the hypergraph neural network and the related content of cross domain natural language generated SQL statements,understands the key technologies,and explores the application of hypergraph neural network for cross domain natural language generated SQL statements analysis,for reference.

关 键 词：超图神经网络 跨域自然语言 生成SQL语句 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]