Chemical similarity searching using a neural graph matcher.
Stefan Klinger, Jim Austin · 2005
Abstract. 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. 1