Research map / Graph learning / Knowledge and temporal graphs
Geometry Interaction Knowledge Graph Embeddings
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use geometry interaction across Euclidean, hyperbolic, and hyperspherical spaces | GIE · WN18RR | MRR: .486 -> .491 | Helped |
| use geometry interaction across Euclidean, hyperbolic, and hyperspherical spaces | GIE · FB15K-237 | MRR: .358 -> .362 | Helped |
| use geometry interaction across Euclidean, hyperbolic, and hyperspherical spaces | GIE · YAGO3-10 | MRR: .568 -> .579 | Helped |
| add the tail-to-head distance term to the scoring function (ablation) | GIE · WN18RR | MRR: .472 -> .491 | Helped |
| add the tail-to-head distance term to the scoring function (ablation) | GIE · FB15K-237 | MRR: .336 -> .362 | Helped |
| add the tail-to-head distance term to the scoring function (ablation) | GIE · YAGO3-10 | MRR: .534 -> .579 | Helped |
| add the head-to-tail distance term to the scoring function (ablation) | GIE · WN18RR | MRR: .477 -> .491 | Helped |
| add the head-to-tail distance term to the scoring function (ablation) | GIE · FB15K-237 | MRR: .338 -> .362 | Helped |
| add the head-to-tail distance term to the scoring function (ablation) | GIE · YAGO3-10 | MRR: .538 -> .579 | Helped |
| add geometry interaction (ablation) | GIE · WN18RR | MRR: .471 -> .491 | Helped |
| add geometry interaction (ablation) | GIE · FB15K-237 | MRR: .332 -> .362 | Helped |
| add geometry interaction (ablation) | GIE · YAGO3-10 | MRR: .531 -> .579 | Helped |
Closest papers by meaning
- 5* Knowledge Graph Embeddings with Projective Transformations (AAAI 2021 · similarity 0.91)
- ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion (ICLR 2023 · similarity 0.90)
- You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings (ICLR 2020 · similarity 0.89)
- Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization (ICML 2024 · similarity 0.88)
- Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures (NeurIPS 2024 · similarity 0.88)
- Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion (AAAI 2025 · similarity 0.87)
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