Abstract: Graph neural networks (GNNs) are a widely-used class of deep learning (DL) models for learning latent representations of graph-structured data for a variety of node/graph-level prediction ...

Abstract: Over years, virtual backbone has attracted lots of attention as a promising approach to deal with the broadcasting storm problem in wireless networks. Frequently, the problem of a quality ...