Research map / Graph learning / Knowledge and temporal graphs
On Completing Sparse Knowledge Base with Transitive Relation Embedding
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add TRE transitive relation patterns to baseline embedding scores | TransE · FB15K tail prediction | MRR: .2371 -> .5444 | Helped |
| add TRE to baseline | ComplEx · WN18 tail prediction | MRR: .5627 -> .6351 | Helped |
| add TRE to baseline | TransE · DBP relation prediction (sparse) | MRR: .0121 -> .1827 | Helped |
| add TRE to baseline | ComplEx · FB15K relation prediction | MRR: .4442 -> .6591 | Helped |
| add TRE to baseline | ComplEx · WN18 relation prediction | MRR: .9493 -> .9016 | Hurt |
| TRE alone vs baselines on sparse FB15K subset | TRE · Sparse FB15K relation prediction | MRR: .4488 -> .6429 | Helped |
| learn relation embeddings only (no entity embeddings) | TRE · training time | approx. execution time (s): 400 -> 360 | Helped |
Closest papers by meaning
- Data-Dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion (AAAI 2018 · similarity 0.89)
- LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion (AAAI 2019 · similarity 0.88)
- InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023 · similarity 0.88)
- Knowledge Graph Completion with Relation-Aware Anchor Enhancement (AAAI 2025 · similarity 0.87)
- KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding (AAAI 2024 · similarity 0.85)
- Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion (AAAI 2025 · similarity 0.84)
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