Preprint
Jul 2026
Positional Attention-based Graph Neural Network for Learning Permutation Non-equivariant Wireless Policies
Graph neural networks (GNNs) have emerged as a promising approach to learning wireless policies efficiently by leveraging topology prior and incorporating relational inductive biases. However, when the optimal policy is not permutation equivariant (PE), conventional GNNs suffer from mismatched inductive biases, leading...
Baichuan Zhao, Chenyang Yang, Jianyu Zhao et al.
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