Hyper-Relational Link Prediction on JFFI100 V2
0.3128H/T ScoreHAHE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HAHEEvaluation Protocol=transductive2026.02 | 0.3128 | 0.274 | |
| THOREvaluation Protocol=transductive2026.02 | 0.3069 | 0.2323 | |
| THORSetting=Inductive2026.02 | 0.3069 | 0.2323 | |
| THORInductive setting=Fully-inductive2026.02 | 0.3069 | 0.2323 | |
| GRANEvaluation Protocol=transductive2026.02 | 0.2957 | 0.2384 | |
| StarEEvaluation Protocol=transductive2026.02 | 0.2933 | — | |
| MetaNIRInductive setting=Fully-inductive2026.02 | 0.2887 | 0.2155 | |
| MOTIFInductive setting=Fully-inductive2026.02 | 0.2481 | — | |
| ULTRAInductive setting=Fully-inductive2026.02 | 0.2167 | — | |
| TRIXInductive setting=Fully-inductive2026.02 | 0.209 | — | |
| MAYPLInductive setting=Fully-inductive2026.02 | 0.1863 | 0.1613 | |
| KG-ICLInductive setting=Fully-inductive2026.02 | 0.1022 | — | |
| HAHESetting=Inductive2026.02 | 0.0852 | 0.0697 | |
| INGRAMInductive setting=Fully-inductive2026.02 | 0.073 | — | |
| RMPIInductive setting=Fully-inductive2026.02 | 0.0702 | — | |
| GRANSetting=Inductive2026.02 | 0.0624 | 0.0536 | |
| StarESetting=Inductive2026.02 | 0.0562 | — | |
| Neural LPInductive setting=Rule-based2026.02 | 0.0394 | — | |
| NS-HARTInductive setting=Semi-inductive2026.02 | 0.0343 | 0.0386 | |
| DRUMInductive setting=Rule-based2026.02 | 0.0237 | — | |
| QBLP (w/o pretrain)Inductive setting=Semi-inductive, Pre-training status=Without pre-training2026.02 | 0.0051 | — | |
| NBFNetInductive setting=Semi-inductive2026.02 | 0.0029 | — |