PCTADW
Node embedder
This software generates embeddings for nodes in directed networks based on associated text.
6 stars
2 watching
0 forks
Language: Jupyter Notebook
last commit: almost 4 years ago
Linked from 1 awesome list
chihming/awesome-network-embeddingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 159 |
 zhengwang100/rsdne | A method for creating network embeddings when labeled data is imbalanced | 11 |
 daokunzhang/sine | This project provides an implementation of network embedding method SINE, designed to learn compact and informative node representations from incomplete networks. | 10 |
 nlprinceton/text_embedding | A utility class for generating and evaluating document representations using word embeddings. | 54 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 290 |
| benedekrozemberczki/tene | A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 73 |
| benedekrozemberczki/sine | An implementation of a scalable method for learning node representations in complex networks | 72 |
 shulhan/go-bindata | A utility to embed binary data in Go programs | 189 |
 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 |
 nicolasgraph/oui_embed | A plugin for Textpattern CMS to embed content from any web page using various protocols and APIs. | 2 |
| zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 18 |
| benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 86 |
 xiaohan2012/sdne-keras | An implementation of Structural Deep Network Embedding using Keras for link prediction and network embedding tasks | 92 |
 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 |
 librahu/hegan | A system for learning meaningful representations of nodes in heterogeneous information networks | 70 |