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Then, the statistical model is embedded as prior knowledge using a graph convolutional network (GCN ... the association knowledge embedding using a graph structure encoder. This article proposes a ...
Abstract: Recently, functional magnetic resonance imaging (fMRI)-based brain networks have been shown to be an effective diagnostic tool with great potential for accurately detecting autism spectrum ...
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Tech Xplore on MSNGraph neural networks show promise for detecting money laundering and collusion in transaction websA review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...
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