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Hard in theory, easy in practice: Why graph isomorphism algorithms seem to be so effectiveIntroduced in the early 2000s by computer scientists Daniel Spielman and Shang-Hua Teng, this is a general paradigm to bridge the gap between the average-case and worst-case performance of algorithms.
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