Hyper-relational Inductive Link Prediction on WD20K33 V2
0.2284MRR (H/T)THOR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| THORInductive setting=Fully-inductive2026.02 | 0.2284 | 0.3083 | |
| MAYPLInductive setting=Fully-inductive2026.02 | 0.2176 | 0.2712 | |
| ULTRAInductive setting=Fully-inductive2026.02 | 0.2042 | — | |
| KG-ICLInductive setting=Fully-inductive2026.02 | 0.2012 | — | |
| MetaNIRInductive setting=Fully-inductive2026.02 | 0.1942 | 0.2068 | |
| MOTIFInductive setting=Fully-inductive2026.02 | 0.1788 | — | |
| TRIXInductive setting=Fully-inductive2026.02 | 0.1758 | — | |
| RMPIInductive setting=Fully-inductive2026.02 | 0.1571 | — | |
| Neural LPInductive setting=Rule-based2026.02 | 0.149 | — | |
| DRUMInductive setting=Rule-based2026.02 | 0.1338 | — | |
| NS-HARTInductive setting=Semi-inductive2026.02 | 0.1328 | 0.1613 | |
| NBFNetInductive setting=Semi-inductive2026.02 | 0.0707 | — | |
| QBLPInductive setting=Semi-inductive, Pre-training status=With pre-training2026.02 | 0.0509 | — | |
| QBLP (w/o pretrain)Inductive setting=Semi-inductive, Pre-training status=Without pre-training2026.02 | 0.0042 | — | |
| INGRAMInductive setting=Fully-inductive2026.02 | 0.004 | — |