Knowledge Graph Completion on FB15k-237
0.608Hits@10RCDA
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| RCDAL (layer count)=3, Base model=ComplEx2026.06 | 0.608 | — | 0.42 | 0.326 | 0.462 | |
| NBFNetClass=GNNs2021.06 | 0.599 | 114 | 0.415 | 0.321 | 0.454 | |
| NBFNet2026.06 | 0.599 | — | 0.415 | 0.321 | 0.454 | |
| GS-Quant2026.04 | 0.592 | — | 0.455 | 0.386 | 0.479 | |
| MKGL2024.10 | 0.591 | — | 0.415 | 0.325 | 0.454 | |
| MKGLMethod Category=LLM-based2026.04 | 0.591 | — | 0.415 | 0.325 | 0.454 | |
| DIFTMethod Category=LLM-based2026.04 | 0.586 | — | 0.439 | 0.364 | 0.468 | |
| SSQRMethod Category=LLM-based2026.04 | 0.583 | — | 0.428 | 0.349 | 0.459 | |
| KICGPTMethod Category=LLM-based2026.04 | 0.581 | — | 0.412 | 0.327 | 0.448 | |
| MoCoSAMethod Category=description-based methods2023.08 | 0.578 | — | 0.387 | 0.292 | 0.42 | |
| DaBRScoring function=semantic matching and geometric distance2024.12 | 0.572 | 83 | 0.373 | 0.274 | 0.41 | |
| CoLEMethod Category=Text-based2026.04 | 0.572 | — | 0.389 | 0.294 | 0.429 | |
| KG-FITMethod Category=LLM-based2026.04 | 0.572 | — | 0.362 | 0.275 | — | |
| QuatREScoring function=semantic matching2024.12 | 0.563 | 88 | 0.367 | 0.269 | 0.404 | |
| DET2024.10 | 0.56 | — | 0.376 | 0.281 | — | |
| DualEScoring function=semantic matching2024.12 | 0.559 | 91 | 0.365 | 0.268 | 0.4 | |
| C-LMKEMethod Category=description-based methods2023.08 | 0.556 | — | 0.404 | 0.324 | 0.439 | |
| TransERRScoring function=geometric distance2024.12 | 0.555 | 125 | 0.36 | 0.264 | 0.396 | |
| KICGPT2024.10 | 0.554 | — | 0.412 | 0.327 | 0.448 | |
| KICGPT2023.09 | 0.554 | — | 0.412 | 0.327 | 0.448 | |
| RotatEClass=Embeddings2021.06 | 0.553 | 177 | 0.338 | 0.241 | 0.375 | |
| ConvQEScoring function=semantic matching2024.12 | 0.551 | — | 0.366 | 0.273 | 0.402 | |
| QuatEScoring function=semantic matching2024.12 | 0.55 | 87 | 0.348 | 0.248 | 0.382 | |
| CoKE2024.10 | 0.549 | — | 0.364 | 0.272 | 0.4 | |
| Rotate4DScoring function=geometric distance2024.12 | 0.547 | 181 | 0.353 | 0.257 | 0.391 | |
| DCNEScoring function=geometric distance2024.12 | 0.547 | 169 | 0.354 | 0.257 | 0.393 | |
| KERMITLLM Backbone=phi3-medium2023.09 | 0.547 | — | 0.359 | 0.266 | 0.396 | |
| CompoundEScoring function=geometric distance2024.12 | 0.545 | — | 0.357 | 0.264 | 0.393 | |
| TuckERDimension=best of {100, 250, 500}2021.10 | 0.544 | — | 0.358 | 0.266 | 0.394 | |
| LowFERClass=Embeddings2021.06 | 0.544 | — | 0.359 | 0.266 | 0.396 | |
| TuckERMethod Category=embedding-based2022.03 | 0.544 | — | 0.358 | 0.266 | 0.394 | |
| TuckERMethod Category=structure-based methods2023.08 | 0.544 | — | 0.358 | 0.266 | 0.394 | |
| TuckER2024.10 | 0.544 | — | 0.358 | 0.266 | 0.394 | |
| DAN2024.10 | 0.544 | — | 0.354 | 0.261 | — | |
| TuckERScoring function=semantic matching2024.12 | 0.544 | — | 0.358 | 0.266 | 0.394 | |
| TuckER2023.09 | 0.544 | — | 0.358 | 0.266 | 0.394 | |
| TuckERMethod Category=Embedding-based2026.04 | 0.544 | — | 0.358 | 0.266 | 0.394 | |
| Rotate3DScoring function=geometric distance2024.12 | 0.543 | 165 | 0.347 | 0.25 | 0.385 | |
| HAKEClass=Embeddings2021.06 | 0.542 | — | 0.346 | 0.25 | 0.381 | |
| ConEDimension=best of {100, 250, 500}2021.10 | 0.54 | — | 0.345 | 0.247 | 0.381 | |
| ATTHScoring function=geometric distance2024.12 | 0.54 | — | 0.348 | 0.252 | 0.384 | |
| KERMITLLM Backbone=phi3-small2023.09 | 0.539 | — | 0.352 | 0.258 | 0.388 | |
| CSPromp-KGMethod Category=structure-based methods2023.08 | 0.538 | — | 0.358 | 0.269 | 0.393 | |
| RotateCTScoring function=geometric distance2024.12 | 0.537 | 171 | 0.347 | 0.251 | 0.382 | |
| KERMITLLM Backbone=qwen2-7b2023.09 | 0.537 | — | 0.351 | 0.258 | 0.387 | |
| ComplEx2021.06 | 0.536 | — | 0.348 | — | — | |
| HAKEDimension=best of {100, 250, 500}2021.10 | 0.535 | — | 0.341 | 0.243 | 0.378 | |
| RotHDimension=best of {100, 250, 500}2021.10 | 0.535 | — | 0.344 | 0.246 | 0.38 | |
| CompGCN2024.10 | 0.535 | — | 0.355 | 0.264 | 0.39 | |
| HAQEScoring function=geometric distance2024.12 | 0.535 | — | 0.343 | 0.247 | 0.379 | |
| CompGCNMethod Category=Embedding-based2026.04 | 0.535 | — | 0.355 | 0.264 | 0.39 | |
| CompGCN2026.06 | 0.535 | — | 0.355 | 0.264 | 0.39 | |
| RotatEDimension=best of {100, 250, 500}2021.10 | 0.533 | — | 0.338 | 0.241 | 0.375 | |
| RotatEMethod Category=embedding-based2022.03 | 0.533 | — | 0.338 | 0.241 | 0.375 | |
| RotatEMethod Category=structure-based methods2023.08 | 0.533 | — | 0.338 | 0.241 | 0.375 | |
| RotatE2024.10 | 0.533 | — | 0.338 | 0.241 | 0.375 | |
| RNNLogic2023.09 | 0.533 | — | 0.349 | 0.258 | 0.385 | |
| RotatE2023.09 | 0.533 | — | 0.338 | 0.241 | 0.375 | |
| RotatEMethod Category=Embedding-based2026.04 | 0.533 | — | 0.338 | 0.241 | 0.375 | |
| RotatE2026.06 | 0.533 | — | 0.338 | 0.241 | 0.375 | |
| DistMult2021.06 | 0.531 | — | 0.343 | — | — | |
| MEM-KGCMethod Category=Text-based2026.04 | 0.531 | — | 0.346 | 0.253 | 0.381 | |
| RNNLogic+ + RotatE (Orig + AUG)Base Model=RNNLogic+ + RotatE, Rule Source=RNNLogic rules, Augmentation=AUG2024.07 | 0.529 | — | 0.353 | 0.265 | — | |
| FHREScoring function=geometric distance2024.12 | 0.528 | — | 0.345 | 0.255 | 0.375 | |
| Trans4EScoring function=geometric distance2024.12 | 0.527 | 158 | 0.332 | 0.236 | 0.366 | |
| RNNLogic+ + RotatE (Orig)Base Model=RNNLogic+ + RotatE, Rule Source=RNNLogic rules, Augmentation=None2024.07 | 0.524 | — | 0.343 | 0.256 | — | |
| KG-ICL-6L2026.06 | 0.523 | — | 0.355 | 0.27 | 0.389 | |
| ConvE2021.06 | 0.521 | — | 0.339 | — | — | |
| FTL-LM2024.10 | 0.521 | — | 0.348 | 0.253 | 0.386 | |
| RNNLogic+ (Orig + AUG)Base Model=RNNLogic+, Rule Source=RNNLogic rules, Augmentation=AUG2024.07 | 0.519 | — | 0.345 | 0.257 | — | |
| MuRPDimension=best of {100, 250, 500}2021.10 | 0.518 | — | 0.335 | 0.243 | 0.367 | |
| GHN2023.09 | 0.518 | — | 0.339 | 0.251 | 0.364 | |
| DRUMClass=Path-based2021.06 | 0.516 | — | 0.343 | 0.255 | 0.378 | |
| CP-KGC2023.09 | 0.516 | — | 0.338 | 0.251 | 0.365 | |
| BERT-ResNetbackbone=BERT-base2021.06 | 0.514 | 186 | 0.346 | 0.262 | 0.379 | |
| BERT-ResNet + Re-rankingbackbone=BERT-base, re-ranking=true2021.06 | 0.514 | 187 | 0.304 | 0.212 | 0.329 | |
| BERT-ResNet + Knowledge Distillationbackbone=BERT-base, knowledge-distillation=true2021.06 | 0.514 | 187 | 0.31 | 0.22 | 0.334 | |
| BERT-ResNet + Ranking Ensemblebackbone=BERT-base, ranking-ensemble=true2021.06 | 0.514 | 186 | 0.354 | 0.27 | 0.387 | |
| BERT-ResNet + KD and REbackbone=BERT-base, knowledge-distillation=true, ranking-ensemble=true2021.06 | 0.514 | 186 | 0.353 | 0.269 | 0.386 | |
| SimKGC_IB+PBMethod Category=text-based, In-batch negatives=true, Pre-batch negatives=true, Self-negatives=false2022.03 | 0.511 | — | 0.334 | 0.246 | 0.365 | |
| SimKGC_IB+PB+SNMethod Category=text-based, In-batch negatives=true, Pre-batch negatives=true, Self-negatives=true2022.03 | 0.511 | — | 0.336 | 0.249 | 0.362 | |
| SimKGC2023.09 | 0.511 | — | 0.336 | 0.249 | 0.362 | |
| ConvTransE2021.06 | 0.51 | — | 0.33 | 0.24 | 0.37 | |
| SimKGC_IBMethod Category=text-based, In-batch negatives=true, Pre-batch negatives=false, Self-negatives=false2022.03 | 0.51 | — | 0.333 | 0.246 | 0.362 | |
| SimKGCMethod Category=description-based methods2023.08 | 0.51 | — | 0.333 | 0.246 | 0.362 | |
| SimKGC_IB+SNMethod Category=text-based, In-batch negatives=true, Pre-batch negatives=false, Self-negatives=true2022.03 | 0.509 | — | 0.334 | 0.247 | 0.363 | |
| RNNLogic+ (Orig)Base Model=RNNLogic+, Rule Source=RNNLogic rules, Augmentation=None2024.07 | 0.506 | — | 0.329 | 0.24 | — | |
| ConvE2023.09 | 0.501 | — | 0.325 | 0.237 | 0.356 | |
| KG-S2SMethod Category=description-based methods2023.08 | 0.498 | — | 0.336 | 0.257 | 0.373 | |
| TransE2024.10 | 0.495 | — | 0.31 | 0.218 | 0.345 | |
| BERT-DeepConvbackbone=BERT-base2021.06 | 0.488 | 190 | 0.327 | 0.246 | 0.354 | |
| StARMethod Category=text-based2022.03 | 0.482 | — | 0.296 | 0.205 | 0.322 | |
| StARMethod Category=description-based methods2023.08 | 0.482 | — | 0.296 | 0.205 | 0.322 | |
| StAR2024.10 | 0.482 | — | 0.296 | 0.205 | 0.322 | |
| StAR2023.09 | 0.482 | — | 0.296 | 0.205 | 0.322 | |
| RNNLogic+ + RotatE (RW + AUG)Base Model=RNNLogic+ + RotatE, Rule Source=Random Walks, Augmentation=AUG2024.07 | 0.479 | — | 0.314 | 0.233 | — | |
| RNNLogic+ + RotatE (RW)Base Model=RNNLogic+ + RotatE, Rule Source=Random Walks, Augmentation=None2024.07 | 0.469 | — | 0.308 | 0.228 | — | |
| KGLM2024.10 | 0.468 | — | 0.289 | 0.2 | 0.314 | |
| BERT-ConvEbackbone=BERT-base2021.06 | 0.465 | 193 | 0.305 | 0.224 | 0.33 | |
| TransEClass=Embeddings2021.06 | 0.465 | 357 | 0.294 | — | — |