A comparative study of different supervision levels (supervised/unsupervised/self-supervised) when training graph neural network models for link scheduling in wireless networks.
supervised-learning
unsupervised-learning
supervision
power-control
wireless-communications
interference-mitigation
graph-neural-networks
self-supervised-learning
graph-representation-learning
contrastive-learning
link-schuedling
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Updated
Oct 6, 2021 - Jupyter Notebook