Journal article
Graph Convolutional Network Aided Inverse Graph Partitioning for Resource Allocation
Abstract
Optimizing resource allocation is critical to achieving energy-efficient industrial Internet-of-Things (IIoT). Many tasks that require grouping IIoT devices with rich connectivity can be modeled as the well-known graph partitioning problem. However, little attention has been paid to those tasks where nodes with few connections are expected to be clustered together, which is the inverse graph partitioning (IGP) problem. Here, we focus on the IGP …
Authors
Wang J; Liu C; Zhao Y; Zhao Z; Ma Y; Liu M; Shen W
Journal
IEEE Transactions on Industrial Informatics, Vol. 20, No. 3, pp. 3082–3091
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/tii.2023.3302328
ISSN
1551-3203