Results 261 to 270 of about 2,840 (305)
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Computing, 1978
According to the classification of labelled graph grammars by Nagl [4], it can be shown that the class of context-sensitive graph languages is equivalent to the class of context-free graph languages and the context-free graph languages properly include the regular graph languages.
Leon S. Levy, Kang Yueh
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According to the classification of labelled graph grammars by Nagl [4], it can be shown that the class of context-sensitive graph languages is equivalent to the class of context-free graph languages and the context-free graph languages properly include the regular graph languages.
Leon S. Levy, Kang Yueh
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On structured graph grammars. II
Information Sciences, 1990One starts by identifying the steps generally followed when applying a rule r to a graph M in a graph grammar; then one formalizes these steps, obtaining a model called structured graph grammar. Various examples, illustrating this approach, are discussed (binary trees, pretty patterns, syntax diagrams) and many previous approaches to graph grammars are
Hans-Jörg Kreowski, Grzegorz Rozenberg
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1995
The classical double pushout approach to the algebraic theory of graph grammars is extended to multilevel graph representations, where parts of graphs are not visible and the information can be restored via the explicit application of productions. The notions of applicability and derivation are investigated and the compatibility of the representations ...
Francesco Parisi-Presicce +1 more
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The classical double pushout approach to the algebraic theory of graph grammars is extended to multilevel graph representations, where parts of graphs are not visible and the information can be restored via the explicit application of productions. The notions of applicability and derivation are investigated and the compatibility of the representations ...
Francesco Parisi-Presicce +1 more
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Structure graphs and structure graph grammars
Information Sciences, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andries Barnard +2 more
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Transformations of graph grammars
1996The notion of multilevel graph representations, where parts of graphs are not visible and the information can be restored via the explicit application of productions, and the corresponding extension of the classical double pushout approach is generalized to the algebraic theory of graph grammars and to the rewriting of these grammars, at the global ...
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2005
Let [enum], [exp-i] and [pr-i] denote the class of recursively enumerable, typ-i expression and typ-i programmed graph languages respectively. The following hierarchy is known from [5]:
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Let [enum], [exp-i] and [pr-i] denote the class of recursively enumerable, typ-i expression and typ-i programmed graph languages respectively. The following hierarchy is known from [5]:
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Drawing graphs with attribute graph grammars
1996We address the problem of automatically generating layouts for graphs using graph grammars.
Gaby Zinßmeister, Carolyn McCreary
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On the relation of graph grammars and graph automata
13th Annual Symposium on Switching and Automata Theory (swat 1972), 1972It is shown that a strong relationship exists between sets of graphs defined by graph (walking) automata with markers available and sets defined by graph grammars. Polynomial recognition algorithms are presented for certain classes of sets and it is argued that the existence of polynomial algorithms for other classes is doubtful.
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Integration of Graph Constraints into Graph Grammars
2018We investigate the integration of graph constraints into graph grammars and consider the filter problem: Given a graph grammar and a graph constraint, does there exist a “goal-oriented” grammar that generates all graphs of the original graph language satisfying the constraint.
Annegret Habel +2 more
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Parsing Spatial Graph Grammars
2004 IEEE Symposium on Visual Languages - Human Centric Computing, 2005This paper presents a parser for a spatial graph grammar formalism, which integrates both the spatial and structural specification mechanisms in a single framework. By taking advantage of the spatial information, the parser performs in polynomial time with an improved parsing complexity over its non-spatial predecessor, i.e.
Jun Kong, Kang Zhang 0001
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