Author

Ryohei Hisano

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#machine learning May 2026

Multiscale Euclidean Network Trajectories: Second-Moment Geometry, Attribution, and Change Points

This work introduces Multiscale Euclidean Network Trajectories (MENT), whose central estimands are pairwise second-moment operators of the dynamic latent positions of the dynamic latent positions, whose central estimands are pairwise second-moment operators of the dynamic latent positions.

Haruka Ezoe, Ryohei Hisano · arXiv.org · 1 citation