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Mar 21, 2024 · This article reviews meta-learning for wireless communications and compares it with GNNs trained for a single task.
Oct 22, 2024 · This article reviews meta-learning for wireless communications and compares it with GNNs trained for a single task. We first introduce meta- ...
Apr 10, 2024 · This article reviews meta-learning for wireless communications and compares it with GNNs trained for a single task. We first introduce meta- ...
Deep learning has been used for optimizing a multitude of wireless problems. Yet most existing works assume that training and test samples are drawn from ...
Nov 4, 2024 · Baichuan Zhao , Jiajun Wu , Yang Ma , Chenyang Yang : Meta-Learning for Wireless Communications: A Survey and a Comparison to GNNs.
This article reviews meta-learning for wireless communications and compares it with GNNs trained for a single task. We first introduce meta-learning by ...
Meta-Learning for Wireless Communications: A Survey and a Comparison to GNNs[J]. IEEE Open Journal of the Communications Society, 2024. Link; Liu S, Guo J ...
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Meta-Learning for Wireless Communications: A Survey and a Comparison to GNNs ... Simulation results show that GNNs are sample efficient while meta-learning ...
In this work, we provide a comprehensive survey of different meta- learning approaches involving GNNs on various graph problems showing the power of using these ...
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