<ul><li>Graph Neural Networks (GNNs) have been widely used for various learning tasks, including link prediction.</li><li>MSGCN (Multiplex Spatial Graph Convolution Network) is a new method that predicts interlayer link weights in multilayer networks.</li><li>MSGCN spatially embeds information across multiple layers and captures the geometric structure of nodes.</li><li>Extensive experiments demonstrate the robust and accurate link weight prediction performance of the MSGCN model.</li></ul>

MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight Prediction

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