Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Graph Convolutional Network Aided Inverse Graph...
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