MENT imposes isotropic normalization on anchor latent positions in unfolded spectral embeddings to preserve second-moment geometry under orthogonal transformations, yielding consistent multiscale trajectories for dynamic network interpretation and inference.
Detecting hierarchical changes in latent variable models
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Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points
MENT imposes isotropic normalization on anchor latent positions in unfolded spectral embeddings to preserve second-moment geometry under orthogonal transformations, yielding consistent multiscale trajectories for dynamic network interpretation and inference.