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CInteractE: Complex Convolution-based Knowledge Graph Embedding for Link Prediction

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ComplExInteraction

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WN18RR Experiment

Model MRR MR Hits@1 Hits@3 Hits@10
ComplExInteractions (Head) 0,43551 5428,4 0,40491 0,4448 0,50383
ComplExInteractions (Tail) 0,47273 5092,9 0,43874 0,48309 0,5485
ComplExInteractions (Avg) 0,45412 5260,6 0,42183 0,46394 0,52616

FB15K-237 Experiment

Model MRR MR Hits@1 Hits@3 Hits@10
ComplExInteractions (Head) 0,20403 502,85 0,12885 0,22203 0,35762
ComplExInteractions (Tail) 0,41086 261,68 0,31863 0,45031 0,59425
ComplExInteractions (Avg) 0,30745 382,27 0,22374 0,33617 0,47594

Contact

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

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

This project is based on https://github.com/malllabiisc/InteractE

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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