Multiple demand-side measures introduced following increased utilization significantly decreased subsequent antibiotic utilization and associated costs. However, there was variable impact on antibiotic resistance. Additional targeted activities are planned to further reduce antibiotic prescribing and resistance.
Graph grammars and graph grammar parsers are to visual languages what string grammars and parsers are to textual languages. A graph grammar specifies a set of valid graphs and can thus be used to formalise the syntax of a visual language. A graph grammar parser is a tool for recognising valid programs in such a formally defined visual language. A parser for context-sensitive graph grammars, which have proved to be suitable for formalising real-world visual languages, was developed by Rekers and Schürr. We propose three improvements of this parser. One of them enlarges the class of parsable graph grammars, while the other two increase the parser's computational efficiency. Experimental results show that for some (meaningful) graph grammars, our improvements can enhance the parser's performance by orders of magnitude. The proposed improvements will hopefully increase both the parser's applicability and the interest in visual language parsing in general.
Abstract-Motivated by improving the efficiency of pattern matching on graphs, we define a new kind of equivalence on graph vertices. Since it can be used in various graph algorithms that explore graphs, we call it exploratory equivalence. The equivalence is based on graph automorphisms. Because many similar equivalences exist (some also based on automorphisms), we argue that this one is novel. For each graph, there are many possible exploratory equivalences, but for improving the efficiency of the exploration, some are better than others. To this end, we define a goal function that models the reduction of the search space in such algorithms. We describe two greedy algorithms for the underlying optimization problem. One is based directly on the definition using a straightforward greedy criterion, whereas the second one uses several practical speedups and a different greedy criterion. Finally, we demonstrate the huge impact of exploratory equivalence on a real application, i.e., graph grammar parsing.
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