Link Prediction on Wikidata5M (IND)
0.761MRRFnF-TGBERTTINY
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FnF-TGBERTTINYTraining=IND2024.08 | 0.761 | 0.697 | 0.799 | 0.883 | — | |
| FnF-TGBERTTINYTraining=FIR2024.08 | 0.711 | 0.644 | 0.749 | 0.837 | — | |
| FnF-TBERTTINYTraining=IND2024.08 | 0.526 | 0.348 | 0.649 | 0.849 | — | |
| FnF-TBERTTINYTraining=FIR2024.08 | 0.478 | 0.306 | 0.591 | 0.793 | — | |
| KEPLER-Cond2019.11 | 0.402 | 0.222 | 0.514 | 0.73 | 0.28 | |
| KEPLER-Wiki2019.11 | 0.351 | 0.154 | 0.469 | 0.719 | 0.32 | |
| KEPLER-Rel2019.11 | 0.334 | 0.159 | 0.435 | 0.661 | 0.35 | |
| DKRL2019.11 | 0.231 | 0.059 | 0.32 | 0.546 | 0.78 | |
| KEPLER-KE2019.11 | 0.178 | 0.057 | 0.229 | 0.407 | 1.38 | |
| RoBERTa2019.11 | 0.074 | 0.007 | 0.01 | 0.196 | 7.23 | |
| Our RoBERTa2019.11 | 0.058 | 0.019 | 0.063 | 0.13 | 10.7 | |
| Random baseline2024.08 | 0.0013 | — | — | — | — |