Laplacian Spectral Embedding
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The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers
Announce Type: replace-cross Abstract: Two of the most widely used methods for analysing graph data, Adjacency Spectral Embedding and Laplacian Spectral Embedding, often produce different results when applied to the same graph. Yet the structural reasons behind this disagreement remain incompletely understood. This paper provides an end-to-end account of ASE-LSE latent subspace disagreement.