| chihming/awesome-network-embedding |
2,218 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
|
|
| A curated list of network embedding techniques. |
| Accenture/AmpliGraph |
1,963 |
|
0 |
0 |
almost 3 years ago |
14 |
July 12, 2023 |
31 |
apache-2.0 |
Python |
| Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org |
| mims-harvard/decagon |
431 |
|
0 |
0 |
over 3 years ago |
0 |
|
14 |
mit |
Jupyter Notebook |
| Graph convolutional neural network for multirelational link prediction |
| claws-lab/jodie |
314 |
|
0 |
0 |
over 2 years ago |
0 |
|
15 |
mit |
Python |
| A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks" |
| Sujit-O/pykg2vec |
294 |
|
0 |
0 |
almost 5 years ago |
26 |
December 23, 2020 |
14 |
mit |
Python |
| Python library for knowledge graph embedding and representation learning. |
| lucashu1/link-prediction |
216 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Representation learning for link prediction within social networks |
| TatsuyaShirakawa/poincare-embedding |
212 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
mit |
C++ |
| Poincaré Embedding (unofficial) |
| cvjena/semantic-embeddings |
206 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
mit |
Python |
| Hierarchy-based Image Embeddings for Semantic Image Retrieval |
| rom1504/image_embeddings |
115 |
|
0 |
0 |
almost 3 years ago |
0 |
|
18 |
mit |
Jupyter Notebook |
| Using efficientnet to provide embeddings for retrieval |
| timsainb/ParametricUMAP_paper |
112 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020). |