A mixed-integer convex formulation for graph isomorphism is solved via first-order methods and variable fixing, outperforming integer feasibility on 6 of 12 graph families and matching on symmetric ones.
Advances in neural information processing systems28(2015)
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Graph Isomorphism: Mixed-Integer Convex Optimization from First-Order Methods
A mixed-integer convex formulation for graph isomorphism is solved via first-order methods and variable fixing, outperforming integer feasibility on 6 of 12 graph families and matching on symmetric ones.