Neural network approach for solving the maximal common subgraph problem.
A new formulation of the maximal common subgraph problem (MCSP), that is implemented using a two-stage Hopfield neural network, is given. Relative merits of this proposed formulation, with respect to current neural network-based solutions as well as classical sequential-search-based solutions, are discussed.
Shoukry
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Dept. of Comput. Sci., Alexandria Univ.
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