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Spatial Gating Strategies For Graph Recurrent Neural Networks

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IEEE ICASSP 2020 Virtual Conference May 2020

Graph Recurrent Neural Networks (GRNNs) are a neural network architecture devised to learn from graph processes, which are time sequences of graph signals. Similarly to traditional recurrent neural networks, GRNNs experience the problem of vanishing/explo

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Spatial Gating Strategies For Graph Recurrent Neural Networks

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Graph Recurrent Neural Networks (GRNNs) are a neural network architecture devised to learn from graph processes, which are time sequences of graph signals. Similarly to traditional recurrent neural networks, GRNNs experience the problem of vanishing/explo