https://github.com/amazon-science/hyperbolic-embeddings
Code for hyperboloid embeddings for knowledge graph entities
https://github.com/amazon-science/hyperbolic-embeddings
Last synced: 3 months ago
JSON representation
Code for hyperboloid embeddings for knowledge graph entities
- Host: GitHub
- URL: https://github.com/amazon-science/hyperbolic-embeddings
- Owner: amazon-science
- License: other
- Created: 2020-12-24T05:40:29.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-06-02T17:54:05.000Z (about 1 year ago)
- Last Synced: 2026-02-04T18:53:39.498Z (4 months ago)
- Language: Python
- Homepage:
- Size: 73.2 KB
- Stars: 37
- Watchers: 7
- Forks: 5
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
## Implementation for the papers:
**Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs**, Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian and Chandan Reddy, WWW 2021.
Code directory: ```hype_kg/codes/```
**ANTHEM: Attentive Hyperbolic Entity Model for Product Search**, Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian and Chandan Reddy, WSDM 2022.
Code directory: ```product_matching/```
## Please refer these works if you find the code useful:
```
@inproceedings{10.1145/3442381.3449974,
author = {Choudhary, Nurendra and Rao, Nikhil and Katariya, Sumeet and Subbian, Karthik and Reddy, Chandan K.},
title = {Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs},
year = {2021},
isbn = {9781450383127},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3442381.3449974},
doi = {10.1145/3442381.3449974},
booktitle = {Proceedings of the Web Conference 2021},
pages = {1373–1384},
numpages = {12},
keywords = {knowledge graphs, hyperbolic space, Representation learning, reasoning queries},
location = {Ljubljana, Slovenia},
series = {WWW '21}
}
```
```
@inproceedings{choudhary2022anthem,
author = {Choudhary, Nurendra and Rao, Nikhil and Katariya, Sumeet and Subbian, Karthik and Reddy, Chandan K.},
title = {ANTHEM: Attentive Hyperbolic Entity Model for Product Search},
year = {2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
booktitle = {{WSDM} '22: The Fifteenth {ACM} International Conference on Web Search
and Data Mining, Phoenix, AZ, USA, February 21-25, 2022},
location = {Phoenix, AZ, USA},
series = {WSDM '22}
}
```