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首页> 外文期刊>Network Daily News >New Engineering Study Findings Have Been Published by Researchers at Beijing University of Posts and Telecommunications (Hierarchical Structure-Feature Aware Graph Neural Network for Node Classification)
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New Engineering Study Findings Have Been Published by Researchers at Beijing University of Posts and Telecommunications (Hierarchical Structure-Feature Aware Graph Neural Network for Node Classification)

机译:新工程研究结果已经出版由北京大学研究人员的职位电信(分层神经网络的结构特点了解图节点分类)

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By a News Reporter-Staff News Editor at Network Daily News - Researchers detail new data in engineering. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, graph neural network is used to process graph data and has been successfully applied to graph node classification task. Due to the complexity of graph structure and the difficulty of obtaining node labels, node classification in datasets with fewer labels becomes a challenge.”
机译:由一个新闻记者在网络新闻编辑每日新闻)- - -研究人员详细的新数据工程。北京,中华人民共和国,NewsRx记者,研究说,“在最近年,图神经网络用于过程图形数据,并已成功应用于图节点分类的任务。图结构的复杂性和难度获取节点的标签,节点分类用更少的标签数据成为一个挑战。”

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