Visualization and Analysis Model of Industrial Economy Status and Development Based on Knowledge Graph and Deep Neural Network.

For different data sets, the performance of recommendation ranking results is compared by adjusting different depth dimension neighborhood sampling numbers, it can be found that similar to the breadth dimension, the performance of KGWD shows an increasing trend as the number of depth dimension neighborhood sampling N increases, which indicates that the more the number of depth dimension neighborhood sampling N .

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