TENE
Graph Embedder
A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information.
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
74 stars
4 watching
17 forks
Language: Python
last commit: about 4 years agoLinked from 1 awesome list
asneattributed-embeddingdeep-learningdeepwalkfeature-extractiongraph-convolutiongraph-embeddinggraph-neural-networkimplicit-factorizationmachine-learningmatrix-decompositionmatrix-factorizationnetwork-embeddingnode-classificationnode-embeddingnode2vecpattern-recognitionpytorchtadwtensorflow
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
| benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 87 |
| benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 167 |
| benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
| benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 253 |
| benedekrozemberczki/grarep | An implementation of a method for learning graph representations from global structural information in a network | 64 |
| benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 160 |
| benedekrozemberczki/asne | A software implementation of a method to reduce the dimensionality of attributed graphs | 83 |
| benedekrozemberczki/feather | A reference implementation of a method for learning graph node embeddings from graph structure and node features | 47 |
| benedekrozemberczki/sine | An implementation of a scalable method for learning node representations in complex networks | 72 |
| benedekrozemberczki/boostedfactorization | An implementation of multi-level network embedding with boosted low-rank matrix approximation | 36 |
| benedekrozemberczki/walklets | An implementation of an algorithm for learning graph representations from network data | 106 |
| benedekrozemberczki/diff2vec | A reference implementation of Diffusion2Vec, a method for learning node embeddings from graph data. | 128 |
| benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 270 |
| benedekrozemberczki/graph2vec | This implementation provides a parallel method for graph representations using distributed learning techniques. | 908 |
 zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |