Generating realistic labelled, weighted random graphs
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Publication:1736741
DOI10.3390/a8041143zbMath1461.05208OpenAlexW2189958126WikidataQ65614256 ScholiaQ65614256MaRDI QIDQ1736741
Publication date: 26 March 2019
Published in: Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3390/a8041143
maximum likelihood estimationrandom graphsweighted graphsBayesian estimationnetwork modelsvariational inferencebeta distributionmixture modelinglabelled graphsgenerative algorithms
Bayesian inference (62F15) Random graphs (graph-theoretic aspects) (05C80) Graph algorithms (graph-theoretic aspects) (05C85)
Uses Software
Cites Work
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- 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