A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data
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In this work, we present Gumbel Graph Network, a model-free deep learning framework for dynamics learning and network reconstruction from the observed time series data. Our method requires no prior knowledge about underlying dynamics and has shown the state-of-the-art performance in three typical dynamical systems on complex networks.
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