Questions tagged [graph-modelling-language]

Graph Modelling Language is a hierarchical text-based format for modelling graphs, by describing nodes and edges (defined by the source and target nodes at each end).

Graph Modelling Language is a hierarchical text-based format for modelling graphs, by describing nodes and edges (defined by the source and target nodes at each end). The Graph Modelling Language wikipedia page gives a number of software applications which will parse it.

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Are there any collaborative data modelling tools for a property graph model that can import into neo4j

I'm looking for a good whiteboarding tool for the property graph model. I realise this is similar to this question, however I'd like it to be collaborative & the output to export to a standard graph database format so can be imported. Context Team…
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how to create an adjacency matrix from a G(n,p) graph using python?

I am asking to create an adjacency matrix from a random graph. I really have no idea how to do it, the only way I knew was to build adjacency matrix through graph and vertex. def adjacency_matrix(n,p) The n is number of vertex and the p is the…
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Conceptual Modelling - Is my drawing correct ?

I have a exam tomorrow and we have gotten a sample exam, but since there are no answers to this sample exam, Id thought Id ask here. So here we go, this is one of the questions Im not sure if ive done correctly: Q: Draw a conceptual model describing…
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Drawing graph from data in gml format in R?

How to draw a graph which is in gml format (it's downloaded from facebook account) in Rstudio? Gml content looks like this: node [ id 287 label "Jack Daniels" sex "female" agerank 2 wallcount 83 …
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in networkX reading a gml file getting ParseException: Expected "]"

I am trying to read a GML (graph modelling language) file from networkX, but it returns a ParseError. I just wrote a couple of lines of code: import networkx as nx G = nx.read_gml('test.gml') print G.node This is the GML file: graph [ directed 1 …
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Extract the deviance from a list of GLM models using ldply()

I want to extract the deviance from a list of GLM models using ldply() Example data (from R base installation): library(reshape2) library(plyr) mtcars.1 <- mtcars[, c("am", "qsec" , "drat") ] mtcars.m <- melt(mtcars.1, id= 1 )…
Rene Bern
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