DANMF
Network community detector
An implementation of a deep learning-based method for community detection in networks
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
203 stars
10 watching
41 forks
Language: Python
last commit: over 3 years agoLinked from 1 awesome list
autoencodercikmclusteringcommunity-detectioncoordinate-descentdanmfdata-sciencedeep-learningdeepwalkdimensionality-reductionembeddinggemsecmachine-learningmnmfnmfnode-embeddingnode2vecsklearnunsupervised-learningword2vec
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 smartyfh/danmf | An algorithm that uses deep learning to factorize large matrices and identify overlapping communities in networks | 22 |
| benedekrozemberczki/m-nmf | An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques | 121 |
| benedekrozemberczki/karateclub | A Python framework for unsupervised learning on graph data using various network embedding and community detection techniques | 2,178 |
| benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |
| benedekrozemberczki/boostedfactorization | An implementation of multi-level network embedding with boosted low-rank matrix approximation | 36 |
| benedekrozemberczki/diff2vec | A reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data. | 128 |
| benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 87 |
| benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 253 |
| benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 160 |
| benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 403 |
| benedekrozemberczki/fscnmf | A software implementation of a matrix factorization technique to fuse graph structure and content into node embeddings. | 20 |
| benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 788 |
| benedekrozemberczki/sine | An implementation of a scalable method for learning node representations in complex networks | 72 |
| benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
| benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 209 |