timothewt/Advanced_Graph_Clustering

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

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jg-you/sbm_canonical_mcmc

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

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fvalle1/topicTCGA

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

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ryanjgallagher/core_periphery_sbm

Bayesian network models for inferring core-periphery structure

Language: Python - Size: 31.3 KB - Last synced: 27 days ago - Pushed: over 2 years ago - Stars: 34 - Forks: 2

SPOC-group/StochasticBlockModelVariants.jl

Simulation and inference for contextual and neural SBMs

Language: Julia - Size: 185 KB - Last synced: 19 days ago - Pushed: 20 days ago - Stars: 0 - Forks: 0

GrossSBM/sbm

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

Language: R - Size: 113 MB - Last synced: 28 days ago - Pushed: 3 months ago - Stars: 17 - Forks: 6

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.

Language: Python - Size: 2.62 MB - Last synced: 10 days ago - Pushed: 6 months ago - Stars: 16 - Forks: 2

kvignesh1420/gnn_collapse

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

Language: Python - Size: 478 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 3 - Forks: 1

GrossSBM/missSBM

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

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IdeasLabUT/Dynamic-Stochastic-Block-Model

MATLAB toolbox for fitting discrete-time dynamic stochastic block models

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zhengdao-chen/GNN4CD

Supervised community detection with line graph neural networks

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high-dimensional/brain-tumour-genetic-networks

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OnnoKampman/variational-nnet-sbm

Neural Network based Stochastic Blockmodel using Variational Inference

Language: Python - Size: 21.5 KB - Last synced: 10 months ago - Pushed: about 5 years ago - Stars: 2 - Forks: 0

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.”

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lishang-stats/csgc

Perform statistical analysis of network data based on centred subgraph counts

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junipertcy/bipartiteSBM-MCMC

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

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Jonas1312/community-detection-in-graphs 📦

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

Language: Python - Size: 106 MB - Last synced: 11 months ago - Pushed: about 2 years ago - Stars: 36 - Forks: 15

IdeasLabUT/Friendship-Interaction-Prediction

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

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junipertcy/bipartiteSBM

A Bayesian model+algorithm for community detection in bipartite networks

Language: Python - Size: 4.1 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 51 - Forks: 6

teobucci/bayesian-statistics-project

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

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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.

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jchiquet/CourseStatNetwork

Material for course about statistical analysis and modeling of networks

Language: TeX - Size: 10.6 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 1 - Forks: 5

junipertcy/sbm-bp

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

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daisuke-motoki/relational_data_learning

Relational Data Learning

Language: Python - Size: 73.2 KB - Last synced: about 1 year ago - Pushed: almost 7 years ago - Stars: 2 - Forks: 2

mozzhorin/VIRGMo

Variational Inference for Random Graph Models

Language: Python - Size: 26.6 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

StatisKit/FFP17

Computational Studies of Adja Magatte Fall Internship

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junipertcy/bipartiteSBM-KL

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

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ffrankies/GraphChallenge Fork of graphchallenge/GraphChallenge

Graph Challenge

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