Papers by Xiaojuan Tang
RulE: Knowledge Graph Reasoning with Rule Embedding (2024.findings-acl)
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| Challenge: | Knowledge graph reasoning is an important problem for knowledge graphs. |
| Approach: | They propose a framework that leverages logical rules to enhance KG reasoning by learning rule embeddings from existing triplets and first-order rules. |
| Outcome: | The proposed framework outperforms existing embedding-based and rule-based methods on multiple benchmarks. |