Supervised community detection with line graph neural networks
-
Updated
Sep 19, 2020 - Python
#
stochastic-block-model
Here are 32 public repositories matching this topic...
A Bayesian model+algorithm for community detection in bipartite networks
-
Updated
Sep 25, 2020 - Python
Community Detection in Graphs (master's degree short project)
-
Updated
May 21, 2022 - Python
Bayesian network models for inferring core-periphery structure
-
Updated
Nov 15, 2021 - Python
MATLAB toolbox for fitting discrete-time dynamic stochastic block models
-
Updated
Jan 14, 2018 - MATLAB
A package to sample and estimate variants of the stochastic blockmodel from network data
-
Updated
Sep 16, 2024 - R
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-detection network-graph network-science graph-theory pruning modularity stochastic-block-model multilayer-networks
-
Updated
Oct 29, 2024 - Python
An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions
-
Updated
Mar 13, 2025 - R
C++ implementation of a MCMC sampler for the (canonical) SBM
graph-algorithms clustering community-detection network-science inference sbm clustering-algorithm stochastic-block-model mcmc-sampler clustering-methods
-
Updated
Oct 21, 2019 - C++
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.”
simulation stochastic-block-model opinion-dynamics electoral-systems voter-model computational-politics computational-experiment
-
Updated
Aug 22, 2023 - Python
C++ implementation of a MCMC sampler for the (microcanonical) bipartite SBM
graph-algorithms clustering network-science inference model-selection stochastic-block-model bipartite-network
-
Updated
May 17, 2023 - C++
Community detection engine for the degree-corrected Stochastic Block Model, using the Belief Propagation algorithm.
graph-algorithms clustering network-science inference stochastic-block-model message-passing belief-propagation
-
Updated
May 3, 2019 - C++
Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)
graph clustering gae unsupervised-learning stochastic-block-model graph-convolutional-networks graph-clustering spectral-clustering markov-clustering louvain-algorithm graph-neural-networks deep-graph-clustering mvgrl arga dgae
-
Updated
Jun 1, 2024 - Jupyter Notebook
MATLAB code for incorporating friendship networks into dynamic link prediction on interaction networks
-
Updated
Apr 24, 2018 - MATLAB
[NeurIPS 2023] Official implementation of "A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"
-
Updated
Jul 26, 2024 - Python
Graph partitioning engine for the degree-corrected bipartite Stochastic Block Model, using the Kernighan-Lin algorithm.
-
Updated
Jun 20, 2018 - C++
-
Updated
Oct 24, 2023 - Jupyter Notebook
Neural Network based Stochastic Blockmodel using Variational Inference
-
Updated
May 5, 2019 - Python
Project for the Bayesian Statistics course of the MSc in Mathematical Engineering @ Polimi (A.Y. 2022-2023).
stochastic-block-model bayesian-statistics bayesian-nonparametrics split-and-merge-algorithm changepoint-detection bdgraph
-
Updated
Mar 16, 2025 - TeX
Relational Data Learning
-
Updated
Jul 23, 2017 - Python
Improve this page
Add a description, image, and links to the stochastic-block-model topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the stochastic-block-model topic, visit your repo's landing page and select "manage topics."