stochastic-block-model

There are 6 repositories under stochastic-block-model topic.

• zhengdao-chen / GNN4CD

  Supervised community detection with line graph neural networks

  graph-neural-networkscommunity-detectionstochastic-block-model
  Language:Python 90

• junipertcy / bipartiteSBM

  A Bayesian model+algorithm for community detection in bipartite networks

  stochastic-block-modelinference-enginebipartite-networkmodel-selectionheuristicclustering
  Language:Python 59

• Jonas1312 / community-detection-in-graphs

  Community Detection in Graphs (master's degree short project)

  bethe-hessianspectral-clusteringstochastic-block-model
  Language:Python 39

• ryanjgallagher / core_periphery_sbm

  Bayesian network models for inferring core-periphery structure

  network-sciencestochastic-block-modelnetwork-inferencecommunity-detectioncore-periphery
  Language:Python 37

• IdeasLabUT / Dynamic-Stochastic-Block-Model

  MATLAB toolbox for fitting discrete-time dynamic stochastic block models

  dynamic-networksstochastic-block-modelcommunity-detectionnetwork-analysiscomplex-networks
  Language:MATLAB 17

• GrossSBM / sbm

  A package to sample and estimate variants of the stochastic blockmodel from network data

  network-analysissbmstochastic-block-model
  Language:R 16

• ragibson / 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.

  community-detectionmultilayer-networksstochastic-block-modelnetwork-graphpruningmodularitygraph-theorynetwork-science
  Language:Python 16

• GrossSBM / missSBM

  An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions

  missing-datanasnetwork-analysisnetwork-datasetstochastic-block-model
  Language:R 12

• jg-you / sbm_canonical_mcmc

  C++ implementation of a MCMC sampler for the (canonical) SBM

  stochastic-block-modelinferencesbmmcmc-samplercommunity-detectiongraph-algorithmsnetwork-scienceclusteringclustering-algorithmclustering-methods
  Language:C++ 11

• junipertcy / bipartiteSBM-MCMC

  C++ implementation of a MCMC sampler for the (microcanonical) bipartite SBM

  stochastic-block-modelinferencebipartite-networkgraph-algorithmsnetwork-scienceclusteringmodel-selection
  Language:C++ 8

• pcbouman-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.”

  computational-experimentcomputational-politicselectoral-systemsopinion-dynamicssimulationstochastic-block-modelvoter-model
  Language:Python 8

• junipertcy / sbm-bp

  Community detection engine for the degree-corrected Stochastic Block Model, using the Belief Propagation algorithm.

  stochastic-block-modelinferencebelief-propagationnetwork-sciencegraph-algorithmsclusteringmessage-passing
  Language:C++ 7

• IdeasLabUT / Friendship-Interaction-Prediction

  MATLAB code for incorporating friendship networks into dynamic link prediction on interaction networks

  link-predictiondynamic-networkscomplex-networksnetwork-analysisstochastic-block-model
  Language:MATLAB 6

• kvignesh1420 / gnn_collapse

  [NeurIPS 2023] Official implementation of "A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"

  community-detectiongraph-neural-networksneural-collapseoptimizationstochastic-block-model
  Language:Python 6

• timothewt / AdvancedGraphClustering

  Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)

  clusteringdeep-graph-clusteringgraphgraph-clusteringgraph-convolutional-networksgraph-neural-networkslouvain-algorithmmarkov-clusteringspectral-clusteringstochastic-block-modelunsupervised-learninggaeargadgaemvgrl
  Language:Jupyter Notebook 6

• high-dimensional / brain-tumour-genetic-networks

  bayesianbraingraph-theorystochastic-block-modeltumours
  Language:Jupyter Notebook 3

• junipertcy / bipartiteSBM-KL

  Graph partitioning engine for the degree-corrected bipartite Stochastic Block Model, using the Kernighan-Lin algorithm.

  community-detectionkernighan-lin-algorithmstochastic-block-model
  Language:C++ 3

• OnnoKampman / variational-nnet-sbm

  Neural Network based Stochastic Blockmodel using Variational Inference

  bayesian-neural-networksstochastic-block-model
  Language:Python 3

• teobucci / bayesian-statistics-project

  Project for the Bayesian Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).

  bayesian-statisticschangepoint-detectionstochastic-block-modelbayesian-nonparametricssplit-and-merge-algorithmbdgraph
  Language:TeX 3

• daisuke-motoki / relational_data_learning

  Relational Data Learning

  infinite-relational-modelspectral-clusteringstochastic-block-model
  Language:Python 2

• eudald-seeslab / mmsbm

  Mixed Membership Stochastic Block Models

  pythonrecommender-systemstochastic-block-model
  Language:Python 2

• jchiquet / CourseStatNetwork

  Material for course about statistical analysis and modeling of networks

  graphnetwork-analysisstochastic-block-model
  Language:TeX 2

• lishang-stats / csgc

  Perform statistical analysis of network data based on centred subgraph counts

  statistical-analysisstochastic-block-modelsubgraph-count
  Language:R 1

• mozzhorin / VIRGMo

  Variational Inference for Random Graph Models

  machine-learningvariational-inferencenetworksrandom-graphsstochastic-block-model
  Language:Python 1

• StatisKit / FFP17

  Computational Studies of Adja Magatte Fall Internship

  reproducible-researchgaussian-graphical-modelsgraphical-lassomaximum-likelihood-estimationnewton-raphsongradient-ascentslope-heuristicmodel-selectionstochastic-block-model
  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.

  heterophilyhomophilynetwork-analysisstochastic-block-model
  Language:Jupyter Notebook 1

• fchen365 / sbmc

  R implementations of a variational EM approach for Stochastic Block Model with covariates

  projectstochastic-block-modelcovariatesvariational-inferenceem-algorithm
  Language:R 0

• ffrankies / GraphChallenge

  Graph Challenge

  research-projectgraph-algorithmsgraph-partitioningstochastic-block-model
  Language:Jupyter Notebook 0

• julio-correa-rios / A-Complex-Networks-Approach-to-Rare-Disease

  A network approach to analyse a tripartite biological network of genes and diseases

  network-analysisstochastic-block-modelcontingency-tableinformation-theory
  Language:Jupyter Notebook 0

• lucaslopes / hedonic

  Hedonic Game Theory for Community Detection

  community-detectioncommunity-structuregame-theoryhedonichedonic-gamesleiden-algorithmplanted-l-partitionstochastic-block-model
  Language:Python 0

• fvalle1 / topicTCGA

  Notebooks for "A topic model analysis of TCGA transcriptomic data of breast and lung cancer"

  tcga-datastochastic-block-modellifelinescancer-machine-learningtopic-modelingtopic-model-analysis
  Language:Jupyter Notebook

• SPOC-group / StochasticBlockModelVariants.jl

  Simulation and inference for contextual and neural SBMs

  approximate-message-passingbelief-propagationgraphsjuliasbmstochastic-block-model
  Language:Julia