On the separability of aggregated multilayer networks

Studies are being conducted on analysis methods for multilayer networks. If each layer network of the original can be reconstructed from single-layer obtained by aggregating network, a more detailed will become possible using conventional methods. In this study, we investigate extent to which with aggregated network. Our findings include that semisupervised learning graph neural networks reconstruct than 50% an