Analysis of SQL Statements Generated by Cross Domain Natural Language Based on Hypergraph Neural Network
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.
万方数据
维普
