Link Prediction on WN18RR transductive (test)
0.579MRRkNN-KGE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| kNN-KGEknowledge_store=true, masked_entity_modeling=true2022.01 | 0.579 | 0.525 | 0.604 | 0.683 | 986 | |
| NBFNet2022.10 | 0.551 | 0.497 | 0.573 | 0.666 | — | |
| KGT5approach=Textual encoding approach2022.01 | 0.508 | 0.487 | — | 0.544 | — | |
| DRUM2022.10 | 0.486 | 0.425 | 0.513 | 0.586 | — | |
| ATTHapproach=Graph embedding approach2022.01 | 0.486 | 0.443 | 0.499 | 0.573 | — | |
| kNN-KGE (w/o KS)knowledge_store=false, masked_entity_modeling=true2022.01 | 0.481 | 0.399 | 0.527 | 0.633 | 1,365 | |
| RotatEmethod_type=transductive2020.10 | 0.476 | 0.428 | 0.492 | 0.571 | — | |
| RotatE2022.10 | 0.476 | 0.428 | 0.492 | 0.571 | — | |
| RotatEapproach=Graph embedding approach2022.01 | 0.476 | 0.428 | 0.492 | 0.571 | 3,340 | |
| TuckERapproach=Graph embedding approach2022.01 | 0.47 | 0.443 | 0.482 | 0.526 | — | |
| GDGNNgeodesic_variant=vertical2022.10 | 0.462 | 0.393 | 0.486 | 0.591 | — | |
| ComplExapproach=Graph embedding approach2022.01 | 0.449 | 0.409 | 0.469 | 0.53 | 7,882 | |
| DistMultapproach=Graph embedding approach2022.01 | 0.444 | 0.412 | 0.47 | 0.504 | 7,000 | |
| Complexmethod_type=transductive2020.10 | 0.44 | 0.41 | 0.46 | 0.51 | — | |
| NeuralLP2022.10 | 0.435 | 0.371 | 0.434 | 0.566 | — | |
| GDGNNgeodesic_variant=horizontal2022.10 | 0.432 | 0.352 | 0.472 | 0.58 | — | |
| DistMultmethod_type=transductive2020.10 | 0.43 | 0.39 | 0.44 | 0.49 | — | |
| RGCN2022.10 | 0.402 | 0.345 | 0.437 | 0.494 | — | |
| StARapproach=Textual encoding approach2022.01 | 0.401 | 0.243 | 0.491 | 0.709 | 51 | |
| MTL-KGCapproach=Textual encoding approach2022.01 | 0.331 | 0.203 | 0.383 | 0.597 | — | |
| BERT-TransEmethod_type=inductive (using descriptions), evaluated_in=transductive setting, backbone=BERT-base2020.10 | 0.325 | 0.144 | 0.431 | 0.679 | — | |
| BERT-DistMultmethod_type=inductive (using descriptions), evaluated_in=transductive setting, backbone=BERT-base2020.10 | 0.314 | 0.182 | 0.37 | 0.581 | — | |
| TransEapproach=Graph embedding approach2022.01 | 0.243 | 0.043 | 0.441 | 0.532 | 2,300 | |
| KG-BERTmethod_type=inductive (using descriptions), evaluated_in=transductive setting2020.10 | 0.242 | 0.11 | 0.28 | 0.524 | — | |
| TransEmethod_type=transductive2020.10 | 0.226 | — | — | 0.501 | — | |
| TransE2022.10 | 0.226 | — | — | 0.501 | — | |
| BE-DKRLmethod_type=inductive (using descriptions), evaluated_in=transductive setting2020.10 | 0.222 | 0.047 | 0.323 | 0.558 | — | |
| KG-BERTapproach=Textual encoding approach2022.01 | 0.216 | 0.041 | 0.302 | 0.524 | 97 | |
| BE-BOWmethod_type=inductive (using descriptions), evaluated_in=transductive setting2020.10 | 0.193 | 0.039 | 0.265 | 0.503 | — | |
| R-GCNapproach=Graph embedding approach2022.01 | 0.123 | 0.08 | 0.137 | 0.207 | 6,700 |