Generating random regular graphs. J. Algorithms 1984, 5, 247-280.Wormald N. C. (1984). Generating random regular graphs . J. Algorithms 5 , 247–280. 10.1016/0196-6774(84)90030-0 [ Cross Ref ]Wormald, N. C. (1984). Generating random regular graphs. J. Algorithms 5, 2, 247-280....
The R-MAT generator (Chakrabarti et al. 2004) is another popular model for generating random graphs with community structure. It is based on recursively subdividing the adjacency matrix into four equally sized partitions and distributing the edges within the partitions according to partition-specific p...
and Martin-Löf , A., Generating simple random graphs with prescribed degree distribution, J. Stat. Phys. 124 (2006), 1377–1397.Britton, T., Deijfen, M., Martin-Löf, A.: Generating simple random graphs with prescribed degree distribution. J. Stat. Phys. 124 , 1377–1397 (2006)...
This API is used to generate a static stream graph for a Flink SQL job.Flink 1.15 does not support the generation of static stream graphs.URI formatPOST /v3/{project_id}/
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...
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 ...
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 n vertices and m edges, based on a decomposition into 1-, 2-, and 3- connected components. For...
Some theorems about the convergence of graph measures are given, with applications to the calculation of the expected eigenvalue distribution of a large finite random regular or bipartite semiregular graph, and the calculation of spectral measures of several examples....
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...