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Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals and made ...
Supercomputer simulation clarifies how turbulent boundary layers evolve at moderate Reynolds numbers
Scientists at the University of Stuttgart's Institute of Aerodynamics and Gas Dynamics (IAG) have produced a novel dataset ...
Traditional channel estimation method in massive MIMO system requires high overhead to maintain the accuracy in multiuser environments. To handle this problem, we propose the Graph-Transformer ...
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