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Charles Fanning

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#graph neural networks Open access Sep 2026

Topology-aware GNNs under structural perturbations: Empirical robustness across domains

Results support a conditional empirical conclusion: combining structure, topology, and stability-oriented training can improve robustness under specified structural perturbations, with dataset-dependent accuracy–stability trade-offs rather than universal guarantees.

Jelena Losic, Charles Fanning · 0 citations

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