Link Prediction on WN18RR
78.6Hits@10LASS
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| LASSBackbone=RoBERTa-Large2022.09 | 78.6 | 35 | — | — | — | — | |
| LASSBackbone=BERT-Large2022.09 | 76.9 | 41 | — | — | — | — | |
| LP-BERTGenre=Semantic matching models, Parameters=102M2022.01 | 75.2 | 92 | 0.482 | 34.3 | 56.3 | — | |
| KGLM_GRModel type=Based on language models2022.11 | 74.1 | 40.18 | 0.467 | 33 | 53.8 | — | |
| LASSBackbone=RoBERTa-Base2022.09 | 73.7 | 53 | — | — | — | — | |
| StAR2022.09 | 73.2 | 46 | — | — | — | — | |
| StARModel Category=Task-specific models2022.10 | 73.2 | 46 | — | — | — | — | |
| KGLM_BaseModel type=Based on language models2022.11 | 73 | 47.97 | 0.445 | 30.5 | 51.8 | — | |
| LASSBackbone=BERT-Base2022.09 | 72.5 | 55 | — | — | — | — | |
| StARGenre=Semantic matching models, Parameters=335M2022.01 | 70.9 | 51 | 0.401 | 24.3 | 49.1 | — | |
| StARModel type=Based on language models2022.11 | 70.9 | 51 | 0.401 | 24.3 | 49.1 | — | |
| StARCategory=Transformer-based models2022.05 | 70.9 | — | 0.401 | 24.3 | — | — | |
| GMTType=Ours2025.10 | 70.3 | — | 0.621 | 56.9 | 66.7 | — | |
| ReaLMMethod Category=LLM-based Methods2025.10 | 69.9 | — | 0.608 | 57.5 | 61.5 | — | |
| KG-FITType=LLM-based2025.10 | 69.5 | — | 0.553 | 48.8 | 59.5 | — | |
| KG-FITMethod Category=LLM-based Methods2025.10 | 69.5 | — | 0.553 | 48.8 | 59.5 | — | |
| PALT_LARGEModel Category=General models2022.10 | 69.3 | 61 | — | — | — | — | |
| GLTW7bType=LLM-based2025.10 | 69 | — | 0.593 | 55.6 | 64.9 | — | |
| PALT_BASEModel Category=General models2022.10 | 67.9 | 62 | — | — | — | — | |
| MA-GNNType=Emb-based2025.10 | 67.9 | — | 0.565 | 50.7 | 59.2 | — | |
| SSQR-LLaMA3.1Method Category=LLM-based Methods, Backbone LLM=LLaMA3.12025.10 | 67.5 | — | 0.598 | 55.9 | 61.8 | — | |
| SSQR-LLaMA2Type=LLM-based2025.10 | 67.3 | — | 0.591 | 54.8 | 61.8 | — | |
| SSQR-LLaMA2Method Category=LLM-based Methods, Backbone LLM=LLaMA22025.10 | 67.3 | — | 0.591 | 54.8 | 61.8 | — | |
| AdaPropType=Emb-based2025.10 | 67.1 | — | 0.562 | 49.9 | — | — | |
| CSProm-KG-CDType=LLM-based2025.10 | 66 | — | 0.559 | 50.8 | 57.8 | — | |
| DiffusionEType=Emb-based2025.10 | 65.8 | — | 0.557 | 50.4 | — | — | |
| MKGLType=LLM-based2025.10 | 65.6 | — | 0.552 | 50 | 57.7 | — | |
| MKGLMethod Category=LLM-based Methods2025.10 | 65.6 | — | 0.552 | 50 | 57.7 | — | |
| KICGPTType=LLM-based2025.10 | 64.1 | — | 0.549 | 47.4 | 58.5 | — | |
| KICGPTMethod Category=LLM-based Methods2025.10 | 64.1 | — | 0.549 | 47.4 | 58.5 | — | |
| KrausKGEκ=4, evaluation_protocol=reproduced2026.05 | 62.5 | — | 53.4 | 48.8 | 55.1 | — | |
| KrausKGEκ=8, evaluation_protocol=reproduced2026.05 | 62.2 | — | 53.7 | 48.6 | 55.4 | — | |
| GoldEevaluation_protocol=reproduced2026.05 | 61.5 | — | 52.5 | 47.6 | 54.2 | — | |
| RotatEDim=500, #P(M)=40.6, Effi=0.0132024.07 | 61.2 | — | 0.508 | — | — | — | |
| KrausKGEκ=1, evaluation_protocol=reproduced2026.05 | 60.8 | — | 51.8 | 46.9 | 53.6 | — | |
| TransERR2023.06 | 60.5 | 1,167 | 0.501 | 0.45 | 0.52 | — | |
| GAATS2022.09 | 60.4 | 1,270 | — | — | — | — | |
| GAATSModel Category=Task-specific models2022.10 | 60.4 | 1,270 | — | — | — | — | |
| GAATModel type=Not based on language models2022.11 | 60.4 | 1,270 | 0.467 | 42.4 | 52.5 | — | |
| RelEns-DSC2023.10 | 60.39 | — | 0.5201 | 47.7 | 53.75 | — | |
| HousE2023.10 | 60.23 | — | 0.5103 | 46.44 | 52.58 | — | |
| SimpleEns2023.10 | 60.21 | — | 0.5121 | 46.7 | 52.89 | — | |
| ExpressivE2026.05 | 59.7 | — | 0.508 | 46.4 | 52.2 | — | |
| RelphormerCategory=Transformer-based models2022.05 | 59.1 | — | 0.495 | 44.8 | — | — | |
| QuatDEGenre=Translational distance models2022.01 | 58.6 | 1,977 | 0.489 | 43.8 | 50.9 | — | |
| RotH2022.09 | 58.6 | — | 0.496 | 44.9 | 0.514 | — | |
| QuatDEModel type=Not based on language models2022.11 | 58.6 | 1,977 | 0.489 | 43.8 | 50.9 | — | |
| RotHevaluation_protocol=reproduced2026.05 | 58.6 | — | 49.6 | 44.9 | 51.4 | — | |
| RotE2023.09 | 58.5 | — | 0.494 | 44.6 | — | — | |
| HousEevaluation_protocol=original results2026.05 | 58.5 | — | 49.6 | 45.2 | 51.1 | — | |
| HittERMethod Category=Embedding Methods2025.10 | 58.4 | — | 0.503 | 46.2 | 51.6 | — | |
| GC-OTE2022.09 | 58.3 | — | 0.491 | 44.2 | 0.511 | — | |
| QuatEType constraints=true2019.04 | 58.2 | 2,314 | 0.488 | 0.438 | 0.508 | — | |
| HAKEGenre=Translational distance models2022.01 | 58.2 | — | 0.497 | 45.2 | 51.6 | — | |
| HAKE2022.09 | 58.2 | — | — | — | — | — | |
| QuatE2022.09 | 58.2 | — | 0.488 | 43.8 | 0.508 | — | |
| HAKEModel Category=Task-specific models2022.10 | 58.2 | — | — | — | — | — | |
| QuatE2023.09 | 58.2 | — | 0.488 | 43.8 | — | — | |
| HAKE2026.05 | 58.2 | — | 0.497 | 45.2 | 51.6 | — | |
| KBGAT2022.09 | 58.1 | 1,940 | — | — | — | — | |
| KBGATModel Category=Task-specific models2022.10 | 58.1 | 1,940 | — | — | — | — | |
| ComplEx-N3-RP2022.09 | 58 | — | — | — | — | — | |
| ComplEx2025.10 | 58 | 2,867 | 0.489 | 44.2 | 46 | — | |
| RotatE2023.10 | 57.99 | — | 0.4772 | 42.36 | 49.82 | — | |
| ConEGenre=Translational distance models2022.01 | 57.9 | — | 0.496 | 45.3 | 51.5 | — | |
| DensEGenre=Translational distance models2022.01 | 57.9 | 3,052 | 0.491 | 44.3 | 50.8 | — | |
| HittERCategory=Transformer-based models2022.05 | 57.9 | — | 0.485 | 43.6 | — | — | |
| Rotat3D2023.06 | 57.9 | 3,328 | 0.489 | 0.442 | 0.505 | — | |
| LineaREGenre=Translational distance models2022.01 | 57.8 | 1,644 | 0.495 | 45.3 | 50.9 | — | |
| LineaREModel type=Not based on language models2022.11 | 57.8 | 1,644 | 0.495 | 45.3 | 50.9 | — | |
| Rot-ProGenre=Translational distance models2022.01 | 57.7 | — | 0.457 | 39.7 | 48.2 | — | |
| RESCAL-DURAGenre=Translational distance models2022.01 | 57.7 | — | 0.498 | 45.5 | — | — | |
| MEIM2022.09 | 57.7 | — | 0.499 | 45.8 | 0.518 | — | |
| CompGCN2023.10 | 57.65 | — | 0.4609 | 42.85 | 46.98 | — | |
| RESCALn=5002023.09 | 57.5 | — | 0.495 | 45.2 | — | — | |
| CORE2026.05 | 57.5 | — | 0.498 | 47 | 50.2 | — | |
| TCRAType=Emb-based2025.10 | 57.4 | — | 0.496 | 45.7 | 51.1 | — | |
| TCRAMethod Category=Embedding Methods2025.10 | 57.4 | — | 0.496 | 45.7 | 51.1 | — | |
| AttHGenre=Translational distance models2022.01 | 57.3 | — | 0.486 | 44.3 | 49.9 | — | |
| AttHevaluation_protocol=reproduced2026.05 | 57.3 | — | 48.6 | 44.3 | 49.9 | — | |
| RotatE2025.10 | 57.3 | 3,318 | 0.475 | 42.6 | 49.2 | — | |
| QuatEN3 regularization=true, Reciprocal learning=true2019.04 | 57.2 | — | 0.482 | 0.436 | 0.499 | — | |
| ComplEx-N32022.09 | 57.2 | — | 0.48 | 43.5 | 0.495 | — | |
| RotatE2019.02 | 57.1 | 3,340 | 0.476 | 0.428 | 0.492 | — | |
| a-RotatESelf-adversarial negative sampling=true2019.04 | 57.1 | 3,340 | 0.476 | 0.428 | 0.492 | — | |
| RotatE2020.10 | 57.1 | — | 0.476 | 42.8 | 49.2 | — | |
| RotatEGenre=Translational distance models2022.01 | 57.1 | 3,340 | 0.476 | 42.8 | 49.2 | — | |
| RotatE2022.09 | 57.1 | 3,340 | — | — | — | — | |
| ComplEx-DURA2022.09 | 57.1 | — | — | — | — | — | |
| RotatE500x2Param. count=40.954M2020.06 | 57.1 | — | 0.476 | 42.8 | 49.2 | — | |
| RotatE2022.09 | 57.1 | — | 0.476 | 42.8 | 0.492 | — | |
| RotatEModel Category=Task-specific models2022.10 | 57.1 | 3,340 | — | — | — | — | |
| ComplEx-DURAModel Category=Task-specific models2022.10 | 57.1 | — | — | — | — | — | |
| RotatEModel type=Not based on language models2022.11 | 57.1 | 3,340 | 0.476 | 42.8 | 49.2 | — | |
| RotatE2023.09 | 57.1 | — | 0.476 | 42.8 | — | — | |
| ComplExn=5002023.09 | 57.1 | — | 0.487 | 44.5 | — | — | |
| UniBi-O(3)order=32023.09 | 57.1 | — | 0.492 | 45.2 | — | — | |
| RotatECategory=Translational distance models2022.05 | 57.1 | — | 0.476 | 42.8 | — | — | |
| RotatE2023.06 | 57.1 | 3,340 | 0.476 | 0.428 | 0.492 | — | |
| RotatEevaluation_protocol=original results2026.05 | 57.1 | — | 47.6 | 42.8 | 49.2 | — |