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:
- Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…☆73Updated 4 years ago
- ☆51Updated 8 years ago
- Bayesian Poisson tensor factorization☆61Updated 9 months ago
- Programs to identify link communities in complex networks☆97Updated 4 years ago
- Summarization of static graphs using the Minimum Description Length principle☆27Updated 9 years ago
- Material for the EPFL master course "A Network Tour of Data Science", edition 2016.☆98Updated 5 years ago
- facebook link prediction kaggle challenge.☆15Updated 11 years ago
- Source Code of GraRep☆52Updated 7 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Implementation of the Louvain algorithm for community detection with various methods for use with igraph in python.☆249Updated 11 months ago
- Network Embedding Survey and Resources☆40Updated 8 years ago
- Implements supervised topic models with a categorical response.☆64Updated 3 years ago
- Max-margin DeepWalk☆72Updated 8 years ago
- A python script that parses the SNAP facebook dataset into a single NetworkX network☆27Updated 5 years ago
- Market Survey: Community Detection☆70Updated 8 years ago
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆187Updated 5 years ago
- Graph kernels☆56Updated 3 years ago
- The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots☆64Updated 7 years ago
- Revealing mesocale structures of time-varying networks through non-negative tensor factorization☆45Updated 10 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- Parse the dblp data into a structured format for experimentation.☆75Updated 8 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
- ☆16Updated 2 years ago
- Some add-on modules to networkx library☆78Updated 4 years ago
- ☆39Updated 10 years ago
- Scalable tensor factorization☆54Updated 10 years ago
- Companion repository for the KDD'18 hands-on tutorial on Higher-Order Data Analytics for Temporal Network Data☆46Updated 6 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Updated 8 years ago
- code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"☆132Updated 8 years ago