| MoCoKGC |
- MRR
- 0.490
- Hits@1
- 0.435
- Hits@3
- 0.517
- Hits@10
- 0.591
|
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion 2024-11-12 |
연결 없음 |
| KGT5-context + Description |
- MRR
- 0.426
- Hits@1
- 0.406
- Hits@3
- 0.44
- Hits@10
- 0.46
|
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction 2023-05-22 |
코드 1 |
| KGT5 + Description |
- MRR
- 0.381
- Hits@1
- 0.357
- Hits@3
- 0.397
- Hits@10
- 0.422
|
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction 2023-05-22 |
코드 1 |
| KGT5-context |
- MRR
- 0.378
- Hits@1
- 0.35
- Hits@3
- 0.396
- Hits@10
- 0.427
|
Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction 2023-05-22 |
코드 1 |
| SimKGC + Description |
- MRR
- 0.358
- Hits@1
- 0.313
- Hits@3
- 0.376
- Hits@10
- 0.441
|
SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models 2022-03-04 |
코드 1 · 코드 2 |
| KGT5 ComplEx Ensemble |
- MRR
- 0.336
- Hits@1
- 0.282
- Hits@3
- 0.362
- Hits@10
- 0.426
|
Sequence-to-Sequence Knowledge Graph Completion and Question Answering 2022-03-19 |
코드 1 |
| ComplEx |
- MRR
- 0.308
- Hits@1
- 0.255
- Hits@10
- 0.398
|
Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques 2021-11-01 |
코드 1 |
| KGT5 |
- MRR
- 0.300
- Hits@1
- 0.267
- Hits@3
- 0.318
- Hits@10
- 0.365
|
Sequence-to-Sequence Knowledge Graph Completion and Question Answering 2022-03-19 |
코드 1 |
| SimplE |
- MRR
- 0.296
- Hits@1
- 0.252
- Hits@3
- 0.317
- Hits@10
- 0.377
|
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation 2019-11-13 |
코드 1 |
| RotatE |
- MRR
- 0.29
- Hits@1
- 0.234
- Hits@3
- 0.322
- Hits@10
- 0.39
|
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation 2019-11-13 |
코드 1 |
| ComplEx |
- MRR
- 0.281
- Hits@1
- 0.228
- Hits@3
- 0.310
- Hits@10
- 0.373
|
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation 2019-11-13 |
코드 1 |
| TransE |
- MRR
- 0.253
- Hits@1
- 0.17
- Hits@3
- 0.311
- Hits@10
- 0.392
|
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation 2019-11-13 |
코드 1 |
| DistMult |
- MRR
- 0.253
- Hits@1
- 0.208
- Hits@3
- 0.278
- Hits@10
- 0.334
|
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation 2019-11-13 |
코드 1 |
| KEPLER-Wiki-rel |
- MRR
- 0.210
- Hits@1
- 0.173
- Hits@3
- 0.224
- Hits@10
- 0.277
|
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation 2019-11-13 |
코드 1 |