Graph neural networks for wireless communications: From theory to practice

Y Shen, J Zhang, SH Song… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep learning-based approaches have been developed to solve challenging problems in
wireless communications, leading to promising results. Early attempts adopted neural …
被引用次数：15 相关文章

Graph Neural Networks for Wireless Communications: From Theory to Practice

Y Shen, J Zhang, SH Song, KB Letaief - IEEE Transactions on Wireless …, 2023 - dl.acm.org
Deep learning-based approaches have been developed to solve challenging problems in
wireless communications, leading to promising results. Early attempts adopted neural …

Graph Neural Networks for Wireless Communications: From Theory to Practice

Y Shen, J Zhang, SH Song, KB Letaief - arXiv preprint arXiv:2203.10800, 2022 - arxiv.org
Deep learning-based approaches have been developed to solve challenging problems in
wireless communications, leading to promising results. Early attempts adopted neural …

Graph Neural Networks for Wireless Communications: From Theory to Practice

Y Shen, J Zhang, SH Song, KB Letaief - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Deep learning-based approaches have been developed to solve challenging problems in
wireless communications, leading to promising results. Early attempts adopted neural …