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Conceptual modelling of graph databases is not used at all.
An attention is devoted to functional modelling of graph databases both at a conceptual and data level.
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Pinker (1990) proposed a model of graph comprehension.
An important area of research regarding the applicability and modeling of graph- theoretical-oriented approaches to complex systems, is the probabilistic inference of such networks.
Moreover, some studies (Carpenter and Shah 1998; Pinker 1990; Shah and Carpenter 1995) have described the model of graph comprehension including three main processes: encoding visual array; identifying relations of the feature; and relating quantitative relations to the graphic variables.
In particular, we propose and analyze a new model of graph-based visibility for coalition formation games and tightly characterize the graph structures that allow polynomial-time convergence – it can be achieved if and only if coalition formation is based on complete or star graphs.
We use the distribution of maximal bicliques in a graph as a yardstick against which to compare different generative models of graphs.
It is known that a Markov basis of the binary graph model of a graph G corresponds to a set of binomial generators of cut ideals IˆG of the suspension ˆG of G.
This solution is implemented in GROOVE, a toolset for designing and model checking of graph transformation systems.
The Chelsea space comprises four light projections, one print, and 36 drawings of projection models on graph paper.
In terms of the graphs theory, this study developed a new model of dynamic graph.
More suggestions(15)
modelling of water
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