Research on Emerging Technology Prediction Based on Graph Neural Network Link Prediction and Regression—Taking Artificial Intelligence Technology as an Example
The prediction of emerging technologies based on patent text data is of great significance for managers,who must focus on the direction of technology development,adjust technology research and development routes,and take the initiative in technology competitions.Taking the AI technology as an example,firstly,use grammatical analysis technology to identify noun phrases in English sentences and construct a noun phrase co-occurrence graph through the network word co-occurrence method.Secondly,a graph neural network model is built to implement co-occurrence graph link prediction and regression.Finally,link prediction and link regression results are combined to make technical predictions for artificial intelligence technology.The experimental results show that using the graph neural network to fuse the noun phrase co-occurrence graph method is more suitable for the prediction of emerging technologies in complex semantic situations and can obtain smaller prediction recognition granularity;in addition,the prediction results show that artificial intelligence technology is forward to application development in electronic meetings,computer vision,medical health,interactive interfaces,measurement and monitoring,machine learning algorithms,sensors,data channels,and intelligent manufacturing.
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