Scale-invariant graph embeddings whose parameters add under node merging give consistent multi-scale network reconstructions, with accuracy that depends on the metric and model family.
As expected, the discrepancy in the CM is larger than that observed in the two MSMs
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Renormalizable Graph Embeddings For Multi-Scale Network Reconstruction
Scale-invariant graph embeddings whose parameters add under node merging give consistent multi-scale network reconstructions, with accuracy that depends on the metric and model family.