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Found 2 papers, 1 papers with code
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics
In this work, we apply GraphDMD -- an extension of the DMD for network data -- to extract the dynamic network modes and their temporal characteristics from the fMRI time series in an interpretable manner.
Computing Steiner Trees using Graph Neural Networks
Graph neural networks have been successful in many learning problems and real-world applications.
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