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Guest Editorial Special Issue on Graph-Powered Machine Learning for Internet of Things
IEEE Internet of Things Journal ( IF 10.6 ) Pub Date : 2022-06-07 , 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:

物联网图驱动机器学习的客座编辑特刊

物联网 (IoT) 是指一个生态系统,其中应用程序和服务由从相互交互的设备和物理世界收集的数据驱动。虽然物联网已经为人类社会带来了巨大的利益,但进展实际上并没有想象中那么快。从网络结构到控制流图,物联网自然而然地不断产生前所未有的图数据量,这促进了对多样化、动态和大规模图物联网数据的利用和利用先进的图驱动方法。
更新日期:2022-06-07
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