Papers with group theory
Compounding Geometric Operations for Knowledge Graph Completion (2023.acl-long)
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| Challenge: | Knowledge graph embedding (KGE) is one of the most fundamental problems in AI research. |
| Approach: | They propose a new knowledge graph embedding model by leveraging translation, rotation, and scaling operations to form a composite one. |
| Outcome: | The proposed model outperforms existing models on three KG prediction tasks. |