Link Prediction on UMLS
100Hits@10LP-BERT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LP-BERTGenre=Semantic matching models, Parameters=102M2022.01 | 100 | 1.18 | — | — | — | |
| ComplEx-N3-RP2022.09 | 99.8 | — | — | — | — | |
| KGLM_GRModel type=Based on language models2022.11 | 99.5 | — | — | — | 1.19 | |
| LASSBackbone=RoBERTa-Base2022.09 | 99.4 | — | — | — | 1.41 | |
| RelphormerCategory=Transformer-based models2022.05 | 99.2 | — | — | — | 1.54 | |
| StARGenre=Semantic matching models, Parameters=335M2022.01 | 99.1 | 1.49 | — | — | — | |
| StAR2022.09 | 99.1 | — | — | — | 1.49 | |
| LASSBackbone=BERT-Base2022.09 | 99.1 | — | — | — | 1.39 | |
| StARModel Category=Task-specific models2022.10 | 99.1 | — | — | — | 1.49 | |
| StARModel type=Based on language models2022.11 | 99.1 | — | — | — | 1.49 | |
| StARCategory=Transformer-based models2022.05 | 99.1 | — | — | — | 1.49 | |
| ConvEGenre=Translational distance models2022.01 | 99 | 1.51 | — | — | — | |
| KG-BERTGenre=Semantic matching models, Parameters=102M2022.01 | 99 | 1.47 | — | — | — | |
| ConvE2022.09 | 99 | — | — | — | 1.51 | |
| KG-BERT2022.09 | 99 | — | — | — | 1.47 | |
| LASSBackbone=BERT-Large2022.09 | 99 | — | — | — | 1.58 | |
| ConvEModel Category=Task-specific models2022.10 | 99 | — | — | — | 1.51 | |
| KG-BERTModel Category=General models2022.10 | 99 | — | — | — | 1.47 | |
| PALT_LARGEModel Category=General models2022.10 | 99 | — | — | — | 1.57 | |
| ConvEModel type=Not based on language models2022.11 | 99 | — | — | — | 1.51 | |
| KG-BERTModel type=Based on language models2022.11 | 99 | — | — | — | 1.47 | |
| ConvECategory=Translational distance models2022.05 | 99 | — | — | — | 1.51 | |
| KG-BERTCategory=Transformer-based models2022.05 | 99 | — | — | — | 1.47 | |
| TransEGenre=Translational distance models2022.01 | 98.9 | 1.84 | — | — | — | |
| TransE2022.09 | 98.9 | — | — | — | 1.84 | |
| LASSBackbone=RoBERTa-Large2022.09 | 98.9 | — | — | — | 1.56 | |
| TransEModel Category=Task-specific models2022.10 | 98.9 | — | — | — | 1.84 | |
| TransEModel type=Not based on language models2022.11 | 98.9 | — | — | — | 1.84 | |
| TransECategory=Translational distance models2022.05 | 98.9 | — | — | — | 1.84 | |
| PALT_BASEModel Category=General models2022.10 | 98.8 | — | — | — | 1.65 | |
| GNTPAttention=false2019.12 | 98.6 | 84.1 | 73.2 | 94.1 | — | |
| GNTPVariant=Standard2020.07 | 98.6 | 84.1 | 73.2 | 94.1 | — | |
| CTP2020.07 | 98.4 | 85.2 | 75.2 | 94.7 | — | |
| GNTPAttention=true2019.12 | 98.3 | 85.7 | 76.1 | 94.7 | — | |
| GNTPVariant=Attention2020.07 | 98.3 | 85.7 | 76.1 | 94.7 | — | |
| DRUM-4Maximum rule length (T)=22019.10 | 98 | 81 | 67 | 94 | — | |
| DRUM-1Maximum rule length (T)=22019.10 | 97 | 80 | 66 | 93 | — | |
| DRUM-4Maximum rule length (T)=32019.10 | 97 | 80 | 66 | 92 | — | |
| MINERVA2019.12 | 96.8 | 82.5 | 72.8 | 90 | — | |
| MINERVA2020.07 | 96.8 | 82.5 | 72.8 | 90 | — | |
| ComplExGenre=Translational distance models2022.01 | 96.7 | 2.59 | — | — | — | |
| ComplEx2022.09 | 96.7 | — | — | — | 2.59 | |
| ComplExModel Category=Task-specific models2022.10 | 96.7 | — | — | — | 2.59 | |
| ComplExModel type=Not based on language models2022.11 | 96.7 | — | — | — | 2.59 | |
| ComplExCategory=Translational distance models2022.05 | 96.7 | — | — | — | 2.59 | |
| NeuralLP2019.12 | 96.2 | 77.8 | 64.3 | 86.9 | — | |
| NeuralLP2020.07 | 96.2 | 77.8 | 64.3 | 86.9 | — | |
| DRUM-1Maximum rule length (T)=32019.10 | 96 | 77 | 63 | 92 | — | |
| NTP2019.12 | 95 | 80 | 70 | 88 | — | |
| Neural-LPMaximum rule length (T)=32019.10 | 93 | 72 | 58 | 84 | — | |
| Neural-LPMaximum rule length (T)=22019.10 | 92 | 75 | 62 | 86 | — | |
| DistMultGenre=Translational distance models2022.01 | 84.6 | 5.52 | — | — | — | |
| DistMult2022.09 | 84.6 | — | — | — | 5.52 | |
| DistMultModel Category=Task-specific models2022.10 | 84.6 | — | — | — | 5.52 | |
| DistMultModel type=Not based on language models2022.11 | 84.6 | — | — | — | 5.52 | |
| DistMultCategory=Translational distance models2022.05 | 84.6 | — | — | — | 5.52 |