Algorithms for inducing graph grammars from sets of graphs have been proposed before. An important class of such algorithms are those based on the Subdue graph mining system. But the rules learned by Subdue and its derivatives do not fit easily in any of the well-studied graph grammars formalisms. In this paper, we discuss how Subdue-like algorithms could be made to work in the context of NLC grammars, an important class of node replacement graph grammars. More specifically, we show how, given a set of occurrences of a subgraph, an NLC grammar rule can be induced such that the given occurrences could have been generated by it.status: publishe
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
AbstractSeveral models of ‘graph grammars’ have been studied with the objective of generating graphs...
AbstractA research into syntax analysis of node label controlled (NLC) graph grammars (introduced an...
Grammar inference deals with determining (preferably simple) models/grammars consistent with a set o...
Abstract. Graph grammars combine the relational aspect of graphs with the iterative and recursive as...
AbstractSeveral models of ‘graph grammars’ have been studied with the objective of generating graphs...
AbstractA graph grammar is a mechanism for generating sets of graphs (called graph languages). This ...
In this paper we describe an approach to learning node replacement graph grammars. This approach is ...
AbstractNode-label controlled graph grammars (NLC grammars) are a mechanism to generate sets of grap...
Within the data mining community there has been a lot of interest in mining and learning from graphs...
In this paper we study the inference of node and edge replacement graph grammars. We search for freq...
In this paper we study the inference of node and edge replacement graph grammars. We search for freq...
In this paper we study the inference of node and edge replacement graph grammars. We search for freq...
In this paper we study the inference of node and edge replacement graph grammars. We search for freq...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
AbstractSeveral models of ‘graph grammars’ have been studied with the objective of generating graphs...
AbstractA research into syntax analysis of node label controlled (NLC) graph grammars (introduced an...
Grammar inference deals with determining (preferably simple) models/grammars consistent with a set o...
Abstract. Graph grammars combine the relational aspect of graphs with the iterative and recursive as...
AbstractSeveral models of ‘graph grammars’ have been studied with the objective of generating graphs...
AbstractA graph grammar is a mechanism for generating sets of graphs (called graph languages). This ...
In this paper we describe an approach to learning node replacement graph grammars. This approach is ...
AbstractNode-label controlled graph grammars (NLC grammars) are a mechanism to generate sets of grap...
Within the data mining community there has been a lot of interest in mining and learning from graphs...
In this paper we study the inference of node and edge replacement graph grammars. We search for freq...
In this paper we study the inference of node and edge replacement graph grammars. We search for freq...
In this paper we study the inference of node and edge replacement graph grammars. We search for freq...
In this paper we study the inference of node and edge replacement graph grammars. We search for freq...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
Graph grammars are graph replacement systems and can be therefore regarded as a generalization of we...
AbstractSeveral models of ‘graph grammars’ have been studied with the objective of generating graphs...
AbstractA research into syntax analysis of node label controlled (NLC) graph grammars (introduced an...