hyperbolics
Graph embeddings library
A software package implementing hyperbolic embedding methods for analyzing graph structures
Hyperbolic Embeddings
377 stars
29 watching
64 forks
Language: Python
last commit: about 3 years agoLinked from 2 awesome lists
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A repository providing code for experiments with knowledge graph embeddings. | 172 | |
| Implementing knowledge graph embeddings using hypernetworks in PyTorch. | 53 | |
| A software project focused on developing a library for tensor-based graph embeddings using TensorFlow. | 0 | |
| A sparsity-aware implementation of a deep learning algorithm for graph embedding with text information. | 74 | |
| Implementation of Poincaré Embeddings algorithm in PyTorch for hierarchical representation learning | 1,684 | |
| An open-source implementation of graph embedding from similarity measures | 129 | |
| A JavaScript library for visualizing large graphs using WebGL | 11,339 | |
| A reference implementation of graph embedding with clustering using deep learning techniques | 253 | |
| A reference implementation of a method for learning graph node embeddings from graph structure and node features | 47 | |
| A Python implementation of an image-sentence embedding method using LSTM networks. | 427 | |
| An implementation of a deep learning algorithm to generate node embeddings in graphs | 322 | |
| A Python library for learning and evaluating knowledge graph embeddings | 1,708 | |
| A JavaScript library allowing random-access to graph nodes using Hypercore DAGs | 24 | |
| A data structure library to model complex relational networks with flexible hyperedges and various edge weights. | 289 | |
| A software framework implementing a deep learning-based method to learn embeddings for hyper-networks. | 45 |