Chemical similarity searching using a neural graph matcher
نویسندگان
چکیده
A neural graph matcher based on Correlation Matrix Memories is evaluated in terms of efficiency and effectiveness against two maximum common subgraph (mcs) algorithms. The algorithm removes implausible solutions below a user-defined threshold and runs faster than conventional mcs methods on our database of chemical graphs while being slightly less effective.
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تاریخ انتشار 2005