This book conducts technical research based on the background of heterogeneous graph application analysis, uses heterogeneous graphs as the technical basis, and combines graph neural networks to conduct data analysis on the application of heterogeneous graph neural networks in different directions. The first chapter of this book mainly discusses the research on the algorithm of heterogeneous graph neural network, and explores the advantages, disadvantages and applications of different improved algorithms of heterogeneous graph neural network, which lays the foundation for the research of this book. The second chapter of this book studies the application of data analysis based on heterogeneous graph neural network, and analyzes the application research of heterogeneous graph neural network in daily life. The third chapter of this book is the recommendation algorithm based on the heterogeneous graph neural network, which discusses the improvement and application of the heterogeneous graph neural network to the recommendation algorithm. The fourth chapter of this book is medical analysis based on heterogeneous graph neural network, which mainly introduces the application of heterogeneous graph neural network in drug and disease analysis. The fifth chapter of this book studies text analysis based on heterogeneous graph neural network, focusing on the technical research of heterogeneous graph neural network for different text analysis.

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