stochastic-block-model
There are 6 repositories under stochastic-block-model topic.
zhengdao-chen / GNN4CD
Supervised community detection with line graph neural networks
Language:Python 85junipertcy / bipartiteSBM
A Bayesian model+algorithm for community detection in bipartite networks
Language:Python 55Jonas1312 / community-detection-in-graphs
Community Detection in Graphs (master's degree short project)
Language:Python 39ryanjgallagher / core_periphery_sbm
Bayesian network models for inferring core-periphery structure
Language:Python 34GrossSBM / sbm
A package to sample and estimate variants of the stochastic blockmodel from network data
Language:R 17ragibson / ModularityPruning
Pruning tool to identify small subsets of network partitions that are significant from the perspective of stochastic block model inference. This method works for single-layer and multi-layer networks, as well as for restricting focus to a fixed number of communities when desired.
Language:Python 16IdeasLabUT / Dynamic-Stochastic-Block-Model
MATLAB toolbox for fitting discrete-time dynamic stochastic block models
Language:MATLAB 13An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions
Language:R 12jg-you / sbm_canonical_mcmc
C++ implementation of a MCMC sampler for the (canonical) SBM
Language:C++ 11C++ implementation of a MCMC sampler for the (microcanonical) bipartite SBM
Language:C++ 8Community detection engine for the degree-corrected Stochastic Block Model, using the Belief Propagation algorithm.
Language:C++ 7pcbouman-eur / es_simulations
Software that simulates voting processes and compares electoral systems. A network of voters is generated by the Stochastic Block Model or a distance-based model. Opinion dynamics are run on the network with options for zealots and media bias. Different electoral systems are supported with high flexibility to accommodate real-world systems.”
Language:Python 7MATLAB code for incorporating friendship networks into dynamic link prediction on interaction networks
Language:MATLAB 5kvignesh1420 / gnn_collapse
[NeurIPS 2023] Official implementation of "A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"
Language:Python 4- Language:Jupyter Notebook 3
Graph partitioning engine for the degree-corrected bipartite Stochastic Block Model, using the Kernighan-Lin algorithm.
Language:C++ 3daisuke-motoki / relational_data_learning
Relational Data Learning
Language:Python 2jchiquet / CourseStatNetwork
Material for course about statistical analysis and modeling of networks
Language:TeX 2OnnoKampman / variational-nnet-sbm
Neural Network based Stochastic Blockmodel using Variational Inference
Language:Python 2teobucci / bayesian-statistics-project
Project for the Bayesian Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).
Language:TeX 2lishang-stats / csgc
Perform statistical analysis of network data based on centred subgraph counts
Language:R 1- Language:Python 1
- Language:Jupyter Notebook 1
Udom-L / Homophily-on-human-network
Homophily on Human Interaction via. Stochastic Block Model network representing the likelihood of gathering of homophily people contributing to human connection with common likeliness by social status.
Language:Jupyter Notebook 1fchen365 / sbmc
R implementations of a variational EM approach for Stochastic Block Model with covariates
Language:R 0ffrankies / GraphChallenge
Graph Challenge
Language:Jupyter Notebook 0julio-correa-rios / A-Complex-Networks-Approach-to-Rare-Disease
A network approach to analyse a tripartite biological network of genes and diseases
Language:Jupyter Notebook 0fvalle1 / topicTCGA
Notebooks for "A topic model analysis of TCGA transcriptomic data of breast and lung cancer"
Language:Jupyter NotebookSPOC-group / StochasticBlockModelVariants.jl
Simulation and inference for contextual and neural SBMs
Language:Julia
