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Learning Wireless Data Knowledge Graph for Green Intelligent Communications: Methodology and Experiments
In this paper, we propose a solution, termed the pervasive multi-level (PML) native AI architecture, which integrates the concept of knowledge graph (KG) into the intelligent operational manipulations of mobile networks, resulting in the establishment of a wireless data KG.
Representation Learning of Knowledge Graph for Wireless Communication Networks
Finally, the results show that the classification accuracy of the proposed model is better than the existing unsupervised graph neural network models, such as VGAE and ARVGE.
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