Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Create a new EntitySchema
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

Generating realistic labelled, weighted random graphs

From MaRDI portal
Publication:1736741
Jump to:navigation, search

DOI10.3390/a8041143zbMath1461.05208OpenAlexW2189958126WikidataQ65614256 ScholiaQ65614256MaRDI QIDQ1736741

Xianqiang Yang

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a8041143

zbMATH Keywords

maximum likelihood estimationrandom graphsweighted graphsBayesian estimationnetwork modelsvariational inferencebeta distributionmixture modelinglabelled graphsgenerative algorithms


Mathematics Subject Classification ID

Bayesian inference (62F15) Random graphs (graph-theoretic aspects) (05C80) Graph algorithms (graph-theoretic aspects) (05C85)



Uses Software

  • KronFit
  • OddBall
  • PRMLT


Cites Work

  • Unnamed Item
  • Unnamed Item
  • Unnamed Item
  • Unnamed Item
  • OddBall
  • Bayesian estimation of Dirichlet mixture model with variational inference
  • Conjugate priors for exponential families
  • PRMLT
  • On the Usefulness of Weight-Based Constraints in Frequent Subgraph Mining
  • Emergence of Scaling in Random Networks
  • Efficient Algorithms for Shortest Paths in Sparse Networks
  • Latent Space Approaches to Social Network Analysis
  • Stochastic Blockmodels for Directed Graphs
  • Multiplicative Attribute Graph Model of Real-World Networks
  • Networks
  • Variational inference for Dirichlet process mixtures
Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:1736741&oldid=14060999"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 1 February 2024, at 07:42.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki