Research map / Graph learning / Knowledge and temporal graphs
5* Knowledge Graph Embeddings with Projective Transformations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use 5*E's projective transformations instead of the strongest listed baseline | Knowledge graph link prediction · WN18RR | MRR: 0.49 -> 0.50 | Helped |
| Use 5*E's projective transformations instead of the strongest listed baseline | Knowledge graph link prediction · FB15k-237 | MRR: 0.37 -> 0.37 | No clear effect |
| Use 5*E's projective transformations instead of the strongest listed baseline | Knowledge graph link prediction · NELL-995-h100 | MRR: 0.36 -> 0.37 | Helped |
| Use 5*E's projective transformations instead of the strongest listed baseline | Knowledge graph link prediction · NELL-995-h75 | MRR: 0.36 -> 0.37 | Helped |
| Use 5*E's projective transformations instead of the strongest listed baseline | Knowledge graph link prediction · NELL-995-h50 | MRR: 0.37 -> 0.38 | Helped |
| Use 5*E's projective transformations instead of the strongest listed baseline | Knowledge graph link prediction · NELL-995-h25 | MRR: 0.37 -> 0.39 | Helped |
| Use 5*E's projective transformations instead of the strongest listed baseline | Knowledge graph link prediction · WN18 | MRR: 0.95 -> 0.96 | Helped |
| Use 5*E's projective transformations instead of the strongest listed baseline | Knowledge graph link prediction · FB15k | MRR: 0.83 -> 0.84 | Helped |
Closest papers by meaning
- Geometry Interaction Knowledge Graph Embeddings (AAAI 2022 · similarity 0.91)
- You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings (ICLR 2020 · similarity 0.90)
- Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization (ICML 2024 · similarity 0.88)
- Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion (AAAI 2025 · similarity 0.86)
- Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion (AAAI 2025 · similarity 0.86)
- Knowledge Graphs Can be Learned with Just Intersection Features (ICML 2024 · similarity 0.86)
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