Abstract: In this letter, we propose a fully trainable graph neural network (GNN) decoder for short polar codes, underpinned by a novel graph attention network (GAT)-aided message-passing (GAT-MP) ...
Abstract: Recent years have witnessed fast developments of graph neural networks (GNNs) that have benefited myriad graph analytic tasks and applications. Most GNNs rely on the homophily assumption ...
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