Research map / Probabilistic and scientific modeling / Molecules and proteins
BoxE: A Box Embedding Model for Knowledge Base Completion
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use BoxE for higher-arity completion | Knowledge base completion models · JF17K | MRR: .492 -> .560 | Helped |
| Use BoxE for higher-arity completion | Knowledge base completion models · FB-AUTO | MRR: .804 -> .844 | Helped |
| Inject the SportsNELL ontology rules | BoxE · SportsNELL full evaluation set | MRR: .577 -> .979 | Helped |
| Inject the SportsNELL ontology rules | BoxE · SportsNELL filtered evaluation set | MRR: .713 -> .954 | Helped |
Closest papers by meaning
- Temporal Knowledge Graph Completion Using Box Embeddings (AAAI 2022 · similarity 0.91)
- LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion (AAAI 2019 · similarity 0.91)
- Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion (AAAI 2025 · similarity 0.87)
- Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion (AAAI 2025 · similarity 0.87)
- An Evaluation of Approaches to Train Embeddings for Logical Inference (Student Abstract) (AAAI 2025 · similarity 0.87)
- Improving Soft Unification with Knowledge Graph Embedding Methods (ICML 2025 · similarity 0.87)
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