A two-round local weight differential privacy algorithm counts below-threshold triangles in weighted graphs with public topology, providing biased and unbiased estimators plus covariance and sensitivity refinements.
Spectra replaces fixed latent rank with a train-time controllable effective-rank coordinate via trace-normalized spectral prefixes, making model capacity a fitted property rather than a hyperparameter.