This data
(https://hobbitdata.informatik.uni-leipzig.de/KGE/DBpedia/ConEx/) contains pre-trained ConEx on DBpedia 03-2022.

Please see [1] for details about ConEx. 

Please see DICE Embeddings (https://github.com/dice-group/dice-embeddings[2]) for details about using pre-trained embedding models.

For any further questions, please contact: caglar.demir@upb.de or caglardemir8@gmail.com.

REFERENCES
[1] @inproceedings{demir2021convolutional,
  title={Convolutional complex knowledge graph embeddings},
  author={Demir, Caglar and Ngomo, Axel-Cyrille Ngonga},
  booktitle={European Semantic Web Conference},
  pages={409--424},
  year={2021},
  organization={Springer}
}
[2] @article{demir2022hardware,
  title={Hardware-agnostic computation for large-scale knowledge graph embeddings},
  author={Demir, Caglar and Ngomo, Axel-Cyrille Ngonga},
  journal={Software Impacts},
  year={2022},
  publisher={Elsevier}
}