基于知识图谱与图神经网络下无线业务预测手段优化  

Optimization of Wireless Service Prediction Method Based on Knowledge Map and Graph Neural Network

作　　者：陈淑娴 CHEN Shuxian(Guangzhou Vocational and Technical University of Science and Technology,Guangzhou Guangdong 510000)

机构地区：[1]广州科技职业技术大学,广东广州510000

出　　处：《软件》2023年第7期83-85,共3页Software

摘　　要：无线业务预测是指通过对历史数据的分析和未来趋势的研究,预测无线网络中各种业务的发展趋势和需求量。这对于无线网络的规划和管理至关重要,可以帮助网络提供更好的服务和资源利用。本文提出了一种基于知识图谱与图神经网络的无线业务预测方法。该方法首先将与无线业务相关的各种数据整合成知识图谱,然后使用图神经网络对知识图谱进行深度学习,得到业务间的相互影响程度,最后对未来的业务趋势进行预测。在本文中,我们主要的贡献在于将知识图谱和图神经网络相结合,以实现更准确的预测。Wireless service prediction refers to predicting the development trend and demand of various services in wireless networks through the analysis of historical data and the study of future trends.This is very important for the planning and management of wireless network,and can help the network to provide better services and resource utilization.In this paper,a wireless service prediction method based on knowledge map and graph neural network is proposed.This method first integrates all kinds of data related to wireless services into a knowledge map,and then uses graph neural network to deeply learn the knowledge map.Finally,the wireless services are studied accordingly.In this paper,our main contribution lies in the combination of knowledge map and graph neural network to achieve more accurate prediction.

关 键 词：知识图谱 图神经网络 无线业务预测手段 

分 类 号：TP316[自动化与计算机技术—计算机软件与理论]