ULSE extends spectral embedding using normalized Laplacians with proven cross-sectional and longitudinal stability plus a dynamic Cheeger inequality under dynamic stochastic block models.
Latent space models for dynamic networks
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ML 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Unfolded Laplacian Spectral Embedding: A Theoretically Grounded Approach to Dynamic Network Representation
ULSE extends spectral embedding using normalized Laplacians with proven cross-sectional and longitudinal stability plus a dynamic Cheeger inequality under dynamic stochastic block models.