Random Models and Analyses for Chemical Graphs.

This paper describes a random model for chemical graphs that captures the notion of valence along with algorithms to generate chemical graphs using this model. An approach for computing the probability that a particular chemical graph is generated under this model is provided. The model is also used to provide theoretical bounds on the accuracy of a class of canonical labeling algorithms for a class of hydrocarbons. [ABSTRACT FROM AUTHOR]