Web API association pattern mining method based on graph neural network
A neural network and association pattern technology, applied in the field of WebAPI association pattern mining based on graph neural network, can solve the problem of not being able to dig out the potential relationship of WebAPI, and achieve the effect of accurate effect.
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[0036] like figure 1 As shown, in one embodiment of the present invention, a method for mining association patterns of Web API based on graph neural network includes the following steps:
[0037] S1. Collect the Web API dataset, convert it into a heterogeneous graph, and input the heterogeneous graph into the GraphTransformer Network;
[0038] S2. Based on the heterogeneous graph of the input graph neural network, a multi-channel convolution operation is performed through the graph neural network to obtain several first graph structures;
[0039] S3, splicing and stacking several first graph structures to obtain a second graph structure;
[0040] S4 , inputting the second graph structure into a graph convolutional neural network (GCN) to obtain a classification result, and recommending a user according to the classification result to complete the mining of Web API association patterns.
[0041] In the step S1, the heterogeneous graph includes nodes and edges; the types of no...
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