Datasets:
Add citation for HyperComplEx (Gajjar et al., 2025) — paper that introduced this dataset
Browse files
README.md
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## Source and licensing
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- **Source data:** [OpenAlex](https://openalex.org), released into the public
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[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). You may use,
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modify, and redistribute it, including commercially, provided you give
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attribution and license your derivative works under the same terms.
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- Please also cite OpenAlex when using this dataset; see their
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[citation guidance](https://docs.openalex.org).
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## Repository layout
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```
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## Citation
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This dataset was introduced in the following paper. **If you use this dataset
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in your work, please cite it.** Please also cite OpenAlex (the source data;
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see their [citation guidance](https://docs.openalex.org)).
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**BibTeX:**
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```bibtex
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@inproceedings{gajjar2025hypercomplex,
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title={HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings},
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author={Gajjar, Jugal and Ranaware, Kaustik and Subramaniakuppusamy, Kamalasankari and Gandhi, Vaibhav C},
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booktitle={2025 IEEE International Conference on Big Data (BigData)},
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pages={5623--5631},
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year={2025},
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organization={IEEE}
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}
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```
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**APA:**
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> Gajjar, J., Ranaware, K., Subramaniakuppusamy, K., & Gandhi, V. C. (2025, December). HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings. In *2025 IEEE International Conference on Big Data (BigData)* (pp. 5623–5631). IEEE.
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## Source and licensing
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- **Source data:** [OpenAlex](https://openalex.org), released into the public
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[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). You may use,
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modify, and redistribute it, including commercially, provided you give
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attribution and license your derivative works under the same terms.
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## Repository layout
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