Purpose/Significance To summarize the research results of network pharmacology in traditional Chinese medicine (TCM) in recent years, and to propose a large-scale biomedical data analysis method in the era of artificial intelligence (AI), so as to provide ideas and references for the development trend and future application of network pharmacology in TCM. Method/Process Based on literature analysis, the research process of network pharmacology and its research progress in the material basis of TCM efficacy, mechanism of TCM efficacy and analysis of molecular mechanism of disease are reviewed. The application and trend of AI represented by graph neural network in TCM network pharmacology are discussed. Result/Conclusion The graph neural network is introduced into the research of TCM network pharmacology, and the AI model is used to further enrich the research methods of network pharmacology, analyze the mechanism of TCM in depth, and provide technical support for the construction of modern TCM basic theoretical system.