Jianyu Zhao

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...