Degree-tail Preservation

Samplers that distort the power-law exponent more also show higher batch gradient variance. RNS preserves the power-law degree-distribution tail in sampled induced subgraphs with the same exponent and a scaled constant. RNS is distinctive because it preserves uniform node statistics while discarding local graph structure inside each batch.