Generating random regular graphs - Wormald - 1984Nicholas C. Wormald: Generating random regular graphs. J. Algo- rithms 5 (1984), no. 2, 247-280. MR 0744493Wormald, N.C. Generating random regular graphs. Journal of Algo- rithms 5 (1984), pp. 247-280...
Britton, T., Deijfen, M., Martin-Löf, A.: Generating simple random graphs with prescribed degree distribution. J. Stat. Phys. 124 (6), 1377–1397 (2006) MATH MathSciNetBritton, T., Deijfen, M., Martin-Löf, A.: Generating simple random graphs with prescribed degree distribution....
Generating stationary random graphs on $\\mathbb{Z}$ with prescribed i.i.d.\\ degrees Let F be a probability distribution with support on the nonnegative integers. We describe two algorithms for generating a stationary random graph, with ver... M Deijfen,R Meester - 《Advances in Applied ...
We show that the transition graphs of the TPSA-CA can be used to realize pseudo-random regular graphs with good expansion properties. The elegance of the scheme lies in the fact that the storage required to capture the graph is O ( log N ), where N is the total number of vertices in...
We show how to generate labelled and unlabelled outerplanar graphs with $n$ vertices uniformly at random in polynomial time in $n$. To generate labelled outerplanar graphs, we present a counting technique using the decomposition of a graph according to its block structure, and compute the exact...
(\r\n 'connector' = 'datagen',\r\n 'rows-per-second' = '1', --Generates a data record per second.\r\n 'fields.name.kind' = 'random', --Specify a random generator for the user_id field.\r\n 'fields.name.length' = '5' --Limit the length of user_id to 3.\r\n);\r...
We present an expected polynomial time algorithm to generate a labeled planar graph uniformly at random. To generate the planar graphs, we derive recurrence formulas that count all such graphs with vertices and edges, based on a decomposition into 1-, 2-, and 3-connected components. For 3-...
Bojchevski, Aleksandar, and Stephan Günnemann. "Deep gaussian embedding of attributed graphs: Unsupervised inductive learning via ranking." ICLR 2018.ContactPlease contact zuegnerd@in.tum.de in case you have any questions.About Implementation of the paper "NetGAN: Generating Graphs via Random ...
Many generative models of network formation have been proposed in the scientific literature1, and some of them have gained significant notoriety, for instance the random network model of Erdös and Rényi2, the small world model of Watts and Strogatz3, the cumulative advantage model of de Solla...
These indicators are susceptible to change over time as attackers use botnets, random domain names or dynamically change hash values with relative ease. On the other hand, actions of the attacker typically follow a particular sequence, which can be reused with little modification. Attributes related...