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Linearity Trick for Complex Embedding Model Enhancing Link Prediction on Knowledge Graphs

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LinearComplEx

Linearity for Link Prediction Complex Embedding Model

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WN18RR Experiment

Model MRR MR Hits@1 Hits@3 Hits@10
DistMult (Yang et al. 2015) 0,43 5110 0,39 0,44 0,49
ComplEx (Trouillon et al. 2016) 0,44 5261 0,41 0,46 0,51
ConvE (Tim Dettmers 2018) 0,45412 5260,6 0,39 0,43 0,48
LinearComplEx (Ours) 0,449 6159 0,422 0,462 0,501

FB15K-237 Experiment

Model MRR MR Hits@1 Hits@3 Hits@10
DistMult (Yang et al. 2015) 0,241 254 0,155 0,263 0,419
ComplEx (Trouillon et al. 2016) 0,247 339 0,158 0,275 0,428
R-GCN (Schlichtkrull et al. 2017) 0,248 0,153 0,258 0,417
ConvE (Tim Dettmers 2018) 0,316 246 0,239 0,35 0,491
LinearComplEx (Ours) 0,307 6159 597 0,339 0,474

Contact

Nhut-Nam Le - @Namlee298 - lenam.fithcmus@gmail.com

Project Link: https://github.com/nhutnamhcmus/LinearComplEx

This project is based on https://github.com/ibalazevic/HypER

Acknowledgements

This research is funded by the University of Science, VNU-HCM, Vietnam under grant number CNTT 2022-2 and Advanced Program in Computer Science.

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Linearity Trick for Complex Embedding Model Enhancing Link Prediction on Knowledge Graphs

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