4.8 Editorial Material

Guest Editorial Special Issue on Graph-Powered Machine Learning for Internet of Things

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 9, 期 12, 页码 9102-9105

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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2022.3164812

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Internet of Things (IoT) is an ecosystem driven by data collected from devices, which brings significant benefits but progress is slower than expected. Advanced graph-powered methods can be utilized to enhance the development of IoT.
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.

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