Papers with Fourier transform-based complex
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform (2022.emnlp-main)
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| Challenge: | Existing studies have shown that the choice of space for knowledge graph (KG) embeddings has significant effects on the performance of KG completion tasks. |
| Approach: | They propose to use the Fourier transform to convert between real and complex hyperbolic space to capture hierarchical patterns. |
| Outcome: | The proposed models outperform the baseline models for knowledge graph (KG) embeddings. |