BoostedFactorization
Network embedder
An implementation of multi-level network embedding with boosted low-rank matrix approximation
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
36 stars
5 watching
13 forks
Language: Python
last commit: over 2 years ago
Linked from 2 awesome lists
boostedneboostingboosting-machinedata-miningdeepwalkdimensionality-reductionfactorization-machinegradient-boostinggradient-boosting-machinel-ensnmfmachine-learningmatrix-factorizationnetwork-embeddingnmfnmf-decompositionnode-embeddingnode2vecsklearnunsupervised-learningword2vec
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
| benedekrozemberczki/m-nmf | An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques | 121 |
| benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 87 |
| benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 160 |
| benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 74 |
| benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 253 |
| benedekrozemberczki/sine | An implementation of a scalable method for learning node representations in complex networks | 72 |
| benedekrozemberczki/diff2vec | A reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data. | 128 |
| benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 167 |
| benedekrozemberczki/fscnmf | A software implementation of a matrix factorization technique to fuse graph structure and content into node embeddings. | 20 |
| benedekrozemberczki/grarep | An implementation of a method for learning graph representations from global structural information in a network | 64 |
| benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
| benedekrozemberczki/feather | A reference implementation of a method for learning graph node embeddings from graph structure and node features | 47 |
| benedekrozemberczki/asne | A software implementation of a method to reduce the dimensionality of attributed graphs | 83 |
| benedekrozemberczki/danmf | An implementation of a deep learning-based method for community detection in networks | 203 |
| benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |