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Stochastic Graph Neural Networks

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IEEE ICASSP 2020 Virtual Conference May 2020
Graph neural networks (GNNs) model nonlinear representations in graph data with applications in distributed agent coordination, control, and planning among others. However, current GNN implementations assume ideal distributed scenarios and ignore link flu
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Stochastic Graph Neural Networks

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Graph neural networks (GNNs) model nonlinear representations in graph data with applications in distributed agent coordination, control, and planning among others. However, current GNN implementations assume ideal distributed scenarios and ignore link flu