Research map / Graph learning / Knowledge and temporal graphs
Locally Adaptive Translation for Knowledge Graph Embedding
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace global margin with locally adaptive entity/relation-specific margin (TransA) | TransE-style translation embedding · WN18 | mean rank (filter): 251 -> 153 | Helped |
| adaptive margin (TransA) vs TransH(unif) | translation embedding · FB15K | mean rank (filter): 84 -> 58 | Helped |
| adaptive margin (TransA) vs TransH(bern) | translation embedding · WN11 | triple classification accuracy: 78.8 -> 93.2 | Helped |
| TransA vs NTN | KG embedding · FB13 | triple classification accuracy: 87.1 -> 82.8 | Hurt |
| TransA vs TransH(bern) | translation embedding · FB15K | triple classification accuracy: 80.2 -> 87.7 | Helped |
Closest papers by meaning
- TorusE: Knowledge Graph Embedding on a Lie Group (AAAI 2018 · similarity 0.91)
- Scalable Feature Learning on Huge Knowledge Graphs for Downstream Machine Learning (NeurIPS 2025 · similarity 0.88)
- Editing Language Model-Based Knowledge Graph Embeddings (AAAI 2024 · similarity 0.87)
- KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding (AAAI 2024 · similarity 0.87)
- Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding (NeurIPS 2024 · similarity 0.86)
- Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization (ICML 2024 · similarity 0.86)
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