Hyper-relational Inductive Link Prediction on WDSPLIT100 V2
0.4413MRR (H/T)THOR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| THORInductive setting=Fully-inductive2026.02 | 0.4413 | 0.5411 | |
| KG-ICLInductive setting=Fully-inductive2026.02 | 0.3578 | — | |
| TRIXInductive setting=Fully-inductive2026.02 | 0.323 | — | |
| ULTRAInductive setting=Fully-inductive2026.02 | 0.2922 | — | |
| MOTIFInductive setting=Fully-inductive2026.02 | 0.2658 | — | |
| RMPIInductive setting=Fully-inductive2026.02 | 0.2654 | — | |
| MAYPLInductive setting=Fully-inductive2026.02 | 0.242 | 0.3049 | |
| NS-HARTInductive setting=Semi-inductive2026.02 | 0.1885 | 0.2184 | |
| MetaNIRInductive setting=Fully-inductive2026.02 | 0.1856 | 0.2387 | |
| DRUMInductive setting=Rule-based2026.02 | 0.0887 | — | |
| Neural LPInductive setting=Rule-based2026.02 | 0.0839 | — | |
| NBFNetInductive setting=Semi-inductive2026.02 | 0.0612 | — | |
| INGRAMInductive setting=Fully-inductive2026.02 | 0.036 | — | |
| QBLPInductive setting=Semi-inductive, Pre-training status=With pre-training2026.02 | 0.0091 | — | |
| QBLP (w/o pretrain)Inductive setting=Semi-inductive, Pre-training status=Without pre-training2026.02 | 0.0023 | — |