Graph-based convolutional network training method, device and system
A convolutional network and training method technology, applied in the field of machine learning, can solve the problems of restricting the application of GCN model, increasing the time of GCN model training, and unacceptable model training time, so as to reduce the amount of calculation and training time, and avoid the amount of calculation huge effect
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[0055] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0056] Graph learning is meaningful for business scenarios. Therefore, when the relationship between the entities corresponding to the nodes in the graph and the entities corresponding to the edges is determined based on the business scenario, the graph is given business and technical meanings, according to the business scenario To solve the technical problems and business problems, perform the corresponding ...
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