When does a spectral prior help graph learning? Connectivity-loss estimation under road-network disruptions
The spectral residual is characterized as a useful but domain-sensitive inductive bias for structural connectivity screening, andarse scaling extends to 20,000 nodes and separates one-time spectral setup from amortized screening cost.
Van-Truong Le
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