ComE
Graph embedding algorithm
An implementation of a graph-based algorithm for learning community embeddings and node embeddings
Implementation of ComE algorithm
59 stars
5 watching
32 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 320 |
| benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 73 |
| benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 166 |
 xgfs/verse | An open-source implementation of graph embedding from similarity measures | 129 |
| benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 159 |
 nd7141/awe | A software framework for generating graph embeddings using an anonymous walk approach | 81 |
 mims-harvard/decagon | An open-source software project implementing a graph convolutional neural network algorithm to predict side effects of drug combinations in pharmacology. | 449 |
| benedekrozemberczki/grarep | An implementation of a method for learning graph representations from global structural information in a network | 63 |
| benedekrozemberczki/feather | A reference implementation of a method for learning graph node embeddings from graph structure and node features | 45 |
 zhenv5/atp | A framework for embedding asymmetric relationships in directed graphs while preserving transitivity, enabling better analysis and routing of nodes with specific properties. | 10 |
| benedekrozemberczki/walklets | An implementation of an algorithm for learning graph representations from network data | 105 |
| benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 86 |
 commonsense/conceptnet-numberbatch | A pre-trained word embedding model informed by a large-scale knowledge graph, providing a nuanced representation of word meanings. | 1,295 |
 accenture/ampligraph | A Python library for training models on knowledge graphs to predict links between concepts | 2,154 |
| benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 252 |