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Benchmarking Graph Neural Networks in Solving Hard Constraint Satisfaction Problems

arXiv:2602.18419v2 Announce Type: replace-cross Abstract: Graph neural networks (GNNs) are increasingly applied to hard optimization problems, often claiming superiority over classical heuristics. However, such claims risk being unsolid due to a lack of standard benchmarks on ...

🔗 Read more: https://arxiv.org/abs/2602.18419

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