Hyper-Relational Link Prediction on WD20K66 V1
0.2734MRR (H/T)THOR
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| THORSetting=Inductive2026.02 | 0.2734 | — | — | 0.3486 | |
| THORInductive setting=Fully-inductive2026.02 | 0.2734 | — | — | 0.3486 | |
| MOTIFInductive setting=Fully-inductive2026.02 | 0.2507 | — | — | — | |
| KG-ICLInductive setting=Fully-inductive2026.02 | 0.239 | — | — | — | |
| ULTRAInductive setting=Fully-inductive2026.02 | 0.2359 | — | — | — | |
| MetaNIRInductive setting=Fully-inductive2026.02 | 0.2045 | — | — | 0.2401 | |
| TRIXInductive setting=Fully-inductive2026.02 | 0.1984 | — | — | — | |
| NS-HARTInductive setting=Semi-inductive2026.02 | 0.1868 | — | — | 0.2622 | |
| MAYPLInductive setting=Fully-inductive2026.02 | 0.1816 | — | — | 0.2468 | |
| RMPIInductive setting=Fully-inductive2026.02 | 0.1791 | — | — | — | |
| DRUMInductive setting=Rule-based2026.02 | 0.1637 | — | — | — | |
| Neural LPInductive setting=Rule-based2026.02 | 0.1584 | — | — | — | |
| NBFNetInductive setting=Semi-inductive2026.02 | 0.1124 | — | — | — | |
| INGRAMInductive setting=Fully-inductive2026.02 | 0.093 | — | — | — | |
| QBLPInductive setting=Semi-inductive, Pre-training status=With pre-training2026.02 | 0.0368 | — | — | — | |
| HAHESetting=Inductive2026.02 | 0.0217 | — | — | 0.0264 | |
| GRANSetting=Inductive2026.02 | 0.0176 | — | — | 0.0234 | |
| StarESetting=Inductive2026.02 | 0.0106 | — | — | — | |
| QBLP (w/o pretrain)Inductive setting=Semi-inductive, Pre-training status=Without pre-training2026.02 | 0.0012 | — | — | — | |
| GRANEvaluation Protocol=transductive2026.02 | — | 0.3155 | 0.3374 | — | |
| HAHEEvaluation Protocol=transductive2026.02 | — | 0.3081 | 0.3205 | — | |
| StarEEvaluation Protocol=transductive2026.02 | — | 0.3021 | — | — | |
| THOREvaluation Protocol=transductive2026.02 | — | 0.2734 | 0.3486 | — |