Edge-case graphs show that permutation-invariant and cyclic-invariant quantum neural networks do not learn a simple edge-counting surrogate for graph connectedness.
Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques,
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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.