Complex Query Answering On Fb15K 237
평가 지표
MRR 1p
MRR 2i
MRR 2p
MRR 2u
MRR 3i
MRR 3p
MRR ip
MRR pi
MRR up
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | MRR 1p | MRR 2i | MRR 2p | MRR 2u | MRR 3i | MRR 3p | MRR ip | MRR pi | MRR up |
|---|---|---|---|---|---|---|---|---|---|
| query2box-reasoning-over-knowledge-graphs-in-1 | 0.406 | 0.295 | 0.094 | 0.113 | 0.423 | 0.068 | 0.126 | 0.212 | 0.076 |
| answering-complex-logical-queries-on | 0.490 | 0.431 | 0.214 | 0.227 | 0.568 | 0.212 | 0.280 | 0.381 | 0.214 |
| neural-symbolic-models-for-logical-queries-on | 0.428 | 0.383 | 0.147 | 0.162 | 0.541 | 0.118 | 0.189 | 0.311 | 0.134 |
| beta-embeddings-for-multi-hop-logical | 0.39 | 0.288 | 0.109 | 0.124 | 0.425 | 0.1 | 0.126 | 0.224 | 0.097 |
| embedding-logical-queries-on-knowledge-graphs | 0.35 | 0.233 | 0.072 | 0.082 | 0.346 | 0.053 | 0.107 | 0.165 | 0.057 |
| complex-query-answering-with-neural-link-1 | - | - | - | - | 0.486 | - | - | - | - |
| complex-query-answering-with-neural-link-1 | - | - | - | - | - | - | - | - | - |
| complex-query-answering-with-neural-link-1 | - | - | - | - | - | - | - | - | - |
| adapting-neural-link-predictors-for-complex | 0.467 | 0.345 | 0.136 | 0.176 | 0.483 | 0.114 | 0.209 | 0.274 | 0.114 |