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Andrea D'Ascenzo

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ExactGED: ILP Benchmarking for Exact GED and Optimal Solutions Dataset

A preliminary comparison with the A ∗ -based algorithms indicates that they are outperformed by the ILP-based approaches on graphs exceeding ten nodes, and a dataset of optimal edit paths across widely used datasets from the TUDataset is released.

Andrea D'Ascenzo, Julian Meffert, Petra Mutzel et al. · 0 citations

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