Research map / Graph learning / Knowledge and temporal graphs
Analogical Inference Enhanced Knowledge Graph Embedding
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add AnKGE analogical inference to HAKE | HAKE · FB15k-237 | MRR: 0.349 -> 0.385 | Helped |
| Add AnKGE analogical inference to HAKE | HAKE · WN18RR | MRR: 0.496 -> 0.500 | Helped |
| Add entity-level analogy (ablation) | AnKGE-HAKE · FB15k-237 | MRR: 0.384 -> 0.385 | Helped |
| Add relation-level analogy (ablation) | AnKGE-HAKE · FB15k-237 | MRR: 0.349 -> 0.385 | Helped |
| Add triple-level analogy (ablation) | AnKGE-HAKE · FB15k-237 | MRR: 0.384 -> 0.385 | Helped |
| Add entity-level analogy (ablation) | AnKGE-HAKE · WN18RR | MRR: 0.497 -> 0.500 | Helped |
| Add relation-level analogy (ablation) | AnKGE-HAKE · WN18RR | MRR: 0.500 -> 0.500 | No clear effect |
| Add triple-level analogy (ablation) | AnKGE-HAKE · WN18RR | MRR: 0.499 -> 0.500 | Helped |
Closest papers by meaning
- Towards Foundation Models for Knowledge Graph Reasoning (ICLR 2024 · similarity 0.88)
- Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion (AAAI 2025 · similarity 0.88)
- Towards Continual Knowledge Graph Embedding via Incremental Distillation (AAAI 2024 · similarity 0.87)
- Toward a Unified Statistical Theory of Unsupervised Pretraining and Supervised Neural Knowledge Graph Learning (NeurIPS 2026 · similarity 0.86)
- KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge (NeurIPS 2024 · similarity 0.86)
- S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion (AAAI 2025 · similarity 0.86)
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