stochastic-block-model
There are 29 repositories under stochastic-block-model topic.
zhengdao-chen/GNN4CD
Supervised community detection with line graph neural networks
junipertcy/bipartiteSBM
A Bayesian model+algorithm for community detection in bipartite networks
Jonas1312/community-detection-in-graphs
Community Detection in Graphs (master's degree short project)
ryanjgallagher/core_periphery_sbm
Bayesian network models for inferring core-periphery structure
GrossSBM/sbm
A package to sample and estimate variants of the stochastic blockmodel from network data
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.
IdeasLabUT/Dynamic-Stochastic-Block-Model
MATLAB toolbox for fitting discrete-time dynamic stochastic block models
GrossSBM/missSBM
An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions
jg-you/sbm_canonical_mcmc
C++ implementation of a MCMC sampler for the (canonical) SBM
junipertcy/bipartiteSBM-MCMC
C++ implementation of a MCMC sampler for the (microcanonical) bipartite SBM
junipertcy/sbm-bp
Community detection engine for the degree-corrected Stochastic Block Model, using the Belief Propagation algorithm.
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.”
IdeasLabUT/Friendship-Interaction-Prediction
MATLAB code for incorporating friendship networks into dynamic link prediction on interaction networks
kvignesh1420/gnn_collapse
[NeurIPS 2023] Official implementation of "A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"
junipertcy/bipartiteSBM-KL
Graph partitioning engine for the degree-corrected bipartite Stochastic Block Model, using the Kernighan-Lin algorithm.
OnnoKampman/variational-nnet-sbm
Neural Network based Stochastic Blockmodel using Variational Inference
daisuke-motoki/relational_data_learning
Relational Data Learning
jchiquet/CourseStatNetwork
Material for course about statistical analysis and modeling of networks
teobucci/bayesian-statistics-project
Project for the Bayesian Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).
lishang-stats/csgc
Perform statistical analysis of network data based on centred subgraph counts
mozzhorin/VIRGMo
Variational Inference for Random Graph Models
StatisKit/FFP17
Computational Studies of Adja Magatte Fall Internship
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.
fchen365/sbmc
R implementations of a variational EM approach for Stochastic Block Model with covariates
ffrankies/GraphChallenge
Graph Challenge
julio-correa-rios/A-Complex-Networks-Approach-to-Rare-Disease
A network approach to analyse a tripartite biological network of genes and diseases
fvalle1/topicTCGA
Notebooks for "A topic model analysis of TCGA transcriptomic data of breast and lung cancer"
SPOC-group/StochasticBlockModelVariants.jl
Simulation and inference for contextual and neural SBMs