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Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...

Abstract: In this paper, we have designed a more efficient visual transformer G-SwinJSCC, for semantic image transmission. Compared to most methods that rely solely on Convolutional Neural Networks ...