AI RESEARCH
Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models
arXiv CS.LG
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ArXi:2605.11142v1 Announce Type: new Graph representation learning has become a standard approach for analyzing networked data, with latent embeddings widely used for link prediction, community detection, and related tasks. Yet a basic design choice, the latent dimension, is still treated as a brittle hyperparameter, fixed before