COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion (2024.naacl-long)
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| Challenge: | Existing methods for knowledge graph completion (KGC) are limited in generality and scalability due to poor contextual facts. |
| Approach: | They propose a contextual facts collector and contextual facts organizer to enhance the inference ability of GM-based methods for various KGC tasks. |
| Outcome: | The proposed model outperforms state-of-the-art methods in terms of performance. |
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| Challenge: | Text-based methods lag behind graph embedding-based approaches for knowledge graph completion (KGC) |
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