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