For the stated class of undirected weighted simple graphs, adding positive self-loops leaves the smallest normalized-Laplacian eigenvalue at zero and strictly decreases the largest eigenvalue; on Cora/citation-network examples the paper reports an approximate shrinkage from 2 to 1.5, enabling augmented SGC propagation to act as a low-pass-type filter.

For the stated class of undirected weighted simple graphs, adding positive self-loops leaves the smallest normalized-Laplacian eigenvalue at zero and strictly decreases the largest eigenvalue; on Cora/citation-network examples the paper reports an approximate shrinkage from 2 to 1.5, enabling augmented SGC propagation to act as a low-pass-type filter. · CiteArk

Measurement results

0/2 assessed

0 supported0 disputed or conflicting2 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
approximate: false · spectralRangeEndpoint: true	2 eigenvalue	—	Not assessed
approximate: true	1.5 eigenvalue	—	Not assessed

Reported and observed measurements

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Measurement results