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Guest Editorial Special Issue on Graph-Powered Machine Learning for Internet of Things
IEEE Internet of Things Journal ( IF 8.2 ) Pub Date : 6-7-2022 , DOI: 10.1109/jiot.2022.3164812
Zhipeng Cai 1 , Suparna De 2 , Michal Kedziora 3 , Chaokun Wang 4
Affiliation  

Internet of Things (IoT) refers to an ecosystem where applications and services are driven by data collected from devices interacting with each other and the physical world. Although IoT has already brought spectacular benefits to human society, the progress is actually not as fast as expected. From network structures to control flow graphs, IoT naturally generates an unprecedented volume of graph data continuously, which stimulates fertilization and making use of advanced graph-powered methods on the diverse, dynamic, and large-scale graph IoT data.

中文翻译:


关于物联网图驱动机器学习的客座社论特刊



物联网 (IoT) 是指一个生态系统,其中的应用程序和服务由从设备之间以及与物理世界交互的设备收集的数据驱动。尽管物联网已经给人类社会带来了巨大的好处,但进展实际上并没有想象的那么快。从网络结构到控制流图,物联网自然地不断产生前所未有的图数据量,这刺激了在多样化、动态和大规模的图物联网数据上利用先进的图驱动方法。
更新日期:2024-08-26
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