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).
202 stars
10 watching
41 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
autoencodercikmclusteringcommunity-detectioncoordinate-descentdanmfdata-sciencedeep-learningdeepwalkdimensionality-reductionembeddinggemsecmachine-learningmnmfnmfnode-embeddingnode2vecsklearnunsupervised-learningword2vec
Related 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 | 120 |
benedekrozemberczki/karateclub | A Python framework for unsupervised learning on graph data using various network embedding and community detection techniques | 2,163 |
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 | 35 |
benedekrozemberczki/diff2vec | A reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data. | 126 |
benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 86 |
benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 252 |
benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 159 |
benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 402 |
benedekrozemberczki/fscnmf | A software implementation of a matrix factorization technique to fuse graph structure and content into node embeddings. | 19 |
benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 787 |
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 | 320 |
benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 208 |