Published August 9, 2022
| Version v1
Dataset
Open
PyKEEN Reproducibility Experiment Model Files
Authors/Creators
- 1. University of Bonn
- 2. LMU Munich
- 3. Harvard Medical School
- 4. Technical University of Denmark
- 5. Mila
Description
This repository provides weights of the models from the reproducibility study conducted in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework" which have been upgraded to compatible with PyKEEN 1.9.
Files
balazevic2019_mure_fb15k237.zip
Files
(1.5 GB)
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md5:52e0f67c2f6eb257161086c33eaa38ec
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md5:07f5df9f8cb0bfecc19e655d915a0626
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md5:c99851ffb7f6871b3501c12d80777340
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Additional details
References
- Ali, Mehdi et al. (2020). Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. arXiv: 2006.13365