ntamas / blockmodelLinks
Fitting stochastic blockmodels to graphs
☆17Updated 9 years ago
Alternatives and similar repositories for blockmodel
Users that are interested in blockmodel are comparing it to the libraries listed below
Sorting:
- Implements supervised topic models with a categorical response.☆65Updated 4 years ago
- Summarization of static graphs using the Minimum Description Length principle☆28Updated 10 years ago
- Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…☆73Updated 5 years ago
- ☆51Updated 9 years ago
- Bayesian Poisson tensor factorization☆63Updated last year
- Topic Models with Dirichlet-multinomial Regression☆41Updated 9 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Programs to identify link communities in complex networks☆99Updated 5 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆64Updated 8 years ago
- Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.☆255Updated last year
- Revealing mesocale structures of time-varying networks through non-negative tensor factorization☆45Updated 10 years ago
- Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"☆57Updated 7 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2016.☆99Updated 5 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Updated 8 years ago
- ☆50Updated 6 years ago
- Python implementation of Kohler et al.'s random walk with restart☆29Updated 7 years ago
- A python script that parses the SNAP facebook dataset into a single NetworkX network☆27Updated 6 years ago
- This page is a companion for our paper on overfitting and underfitting of community detection methods on real networks, written by Amir G…☆27Updated last year
- SNAP Python code, SWIG related files☆306Updated 3 years ago
- mixed membership stochastic block model☆13Updated 9 years ago
- Network Embedding Survey and Resources☆41Updated 8 years ago
- This implements hierarchical latent Dirichlet allocation, a topic model that finds a hierarchy of topics. The structure of the hierarchy …☆78Updated 11 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆186Updated 6 years ago
- Market Survey: Community Detection☆70Updated 8 years ago
- Source Code of GraRep☆52Updated 7 years ago
- ☆173Updated 7 years ago
- Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes☆24Updated 10 years ago
- facebook link prediction kaggle challenge.☆15Updated 11 years ago
- Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm …☆147Updated 10 years ago