We adapt techniques from the constraint programming and satisfiability literatures to expedite the search for graph automorphisms. Specifically, we implement conflict-driven backjumping, several branching heuristics, andrestarts. To support backjumping, we extend high-performance search for graph automorphisms with a novel framework for conflict analysis. Empirically, these techniques improve performance up to several orders of magnitude.
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