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On the Rademacher Complexity of Graph Neural Networks: Unifying Expressivity and Geometry

Rademacher complexity bounds unify GNN expressivity and input geometry through equivalence classes, covering numbers, and Wasserstein robustness.

Martin Carrasco, Caio Deberaldini Netto, Ehimare Okoyomon, Aneeqa Mehrab and 2 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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