There are 6 repositories under stochastic-block-model topic.
Supervised community detection with line graph neural networks
A Bayesian model+algorithm for community detection in bipartite networks
Community Detection in Graphs (master's degree short project)
Bayesian network models for inferring core-periphery structure
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.
MATLAB toolbox for fitting discrete-time dynamic stochastic block models
C++ implementation of a MCMC sampler for the (canonical) SBM
Hedonic Game Theory for Community Detection
C++ implementation of a MCMC sampler for the (microcanonical) bipartite SBM
Community detection engine for the degree-corrected Stochastic Block Model, using the Belief Propagation algorithm.
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.”
MATLAB code for incorporating friendship networks into dynamic link prediction on interaction networks
[NeurIPS 2023] Official implementation of "A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"
Graph partitioning engine for the degree-corrected bipartite Stochastic Block Model, using the Kernighan-Lin algorithm.
Neural Network based Stochastic Blockmodel using Variational Inference
Project for the Bayesian Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).
Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)
Relational Data Learning
Material for course about statistical analysis and modeling of networks
Perform statistical analysis of network data based on centred subgraph counts
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.
R implementations of a variational EM approach for Stochastic Block Model with covariates
Graph Challenge
A network approach to analyse a tripartite biological network of genes and diseases
Notebooks for "A topic model analysis of TCGA transcriptomic data of breast and lung cancer"
Simulation and inference for contextual and neural SBMs