Supervised community detection with line graph neural networks
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Sep 19, 2020 - Python
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stochastic-block-model
Here are 32 public repositories matching this topic...
A Bayesian model+algorithm for community detection in bipartite networks
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Sep 25, 2020 - Python
Community Detection in Graphs (master's degree short project)
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May 21, 2022 - Python
Bayesian network models for inferring core-periphery structure
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Nov 15, 2021 - Python
A package to sample and estimate variants of the stochastic blockmodel from network data
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Sep 16, 2024 - R
MATLAB toolbox for fitting discrete-time dynamic stochastic block models
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Jan 14, 2018 - MATLAB
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
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Oct 29, 2024 - Python
An R package for adjusting Stochastic Block Models from networks data sampled under various missing data conditions
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Oct 25, 2023 - 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
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Oct 21, 2019 - C++
C++ implementation of a MCMC sampler for the (microcanonical) bipartite SBM
graph-algorithms clustering network-science inference model-selection stochastic-block-model bipartite-network
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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
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May 3, 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
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Aug 22, 2023 - Python
MATLAB code for incorporating friendship networks into dynamic link prediction on interaction networks
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Apr 24, 2018 - MATLAB
[NeurIPS 2023] Official implementation of "A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"
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Jul 26, 2024 - Python
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
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Jun 1, 2024 - Jupyter Notebook
Neural Network based Stochastic Blockmodel using Variational Inference
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May 5, 2019 - Python
Graph partitioning engine for the degree-corrected bipartite Stochastic Block Model, using the Kernighan-Lin algorithm.
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Jun 20, 2018 - C++
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Oct 24, 2023 - Jupyter Notebook
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
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Jan 17, 2024 - TeX
Relational Data Learning
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Jul 23, 2017 - Python
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