Edge-case graphs show that permutation-invariant and cyclic-invariant quantum neural networks do not learn a simple edge-counting surrogate for graph connectedness.
Performance measures in evaluating machine learning based bioinformatics predictors for classifications,
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Analysis of quantum neural network performance via edge cases
Edge-case graphs show that permutation-invariant and cyclic-invariant quantum neural networks do not learn a simple edge-counting surrogate for graph connectedness.