DHNE
Hyper Network Embedder
A software framework implementing a deep learning-based method to learn embeddings for hyper-networks.
the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）
45 stars
6 watching
14 forks
Language: Python
last commit: almost 6 years ago
Linked from 1 awesome list
hyper-networksnetwork-embeddingrepresentation-learning
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 74 |
| benedekrozemberczki/boostedfactorization | An implementation of multi-level network embedding with boosted low-rank matrix approximation | 36 |
| 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 |
 zhengwang100/rsdne | A method for creating network embeddings when labeled data is imbalanced | 12 |
| benedekrozemberczki/sine | An implementation of a scalable method for learning node representations in complex networks | 72 |
 xiaohan2012/sdne-keras | An implementation of Structural Deep Network Embedding using Keras for link prediction and network embedding tasks | 92 |
 librahu/hegan | A system for learning meaningful representations of nodes in heterogeneous information networks | 70 |
 ibalazevic/hyper | Implementing knowledge graph embeddings using hypernetworks in PyTorch. | 53 |
| benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 253 |
| benedekrozemberczki/feather | A reference implementation of a method for learning graph node embeddings from graph structure and node features | 47 |
| benedekrozemberczki/m-nmf | An implementation of Community Preserving Network Embedding using deep learning and matrix factorization techniques | 121 |
| benedekrozemberczki/attentionwalk | An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 |
| benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 167 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 291 |