Temporal Knowledge Graph Reasoning on YAGO (test)
0.8788Hits@1G2S
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| G2SLearning Strategy=Supervised Fine-tuning2025.05 | 0.8788 | — | 0.9089 | 0.9093 | |
| G2S_GL(R) w. WIKISetting=Zero-shot, External Knowledge=WIKI, Anonymization=RID2025.05 | 0.8607 | — | 0.9082 | 0.9102 | |
| TITerLearning Strategy=Traditional Method2025.05 | 0.845 | — | 0.908 | 0.912 | |
| XERTELearning Strategy=Traditional Method2025.05 | 0.842 | — | 0.902 | 0.912 | |
| G2S_GL(F)Setting=Zero-shot, Anonymization=FID2025.05 | 0.815 | — | 0.8754 | 0.9079 | |
| G2S_GL(F+Map)Setting=Zero-shot, Anonymization=FID + Scenario Mapping2025.05 | 0.81 | — | 0.8705 | 0.9076 | |
| G2S_GL(R)Setting=Zero-shot, Anonymization=RID2025.05 | 0.804 | — | 0.8732 | 0.9086 | |
| GenTKGLearning Strategy=Supervised Fine-tuning, Evaluation Protocol=Self-developed subset2025.05 | 0.7915 | — | 0.83 | 0.8425 | |
| RE-GCNLearning Strategy=Traditional Method2025.05 | 0.787 | — | 0.842 | 0.884 | |
| GPT-NeoX-ICLLearning Strategy=In-context Learning2025.05 | 0.787 | — | 0.892 | 0.926 | |
| GPT-NeoX-ICLSetting=Zero-shot2025.05 | 0.784 | — | 0.891 | 0.927 | |
| FrequencySetting=Zero-shot2025.05 | 0.766 | — | 0.859 | 0.921 | |
| TLogicLearning Strategy=Traditional Method2025.05 | 0.74 | — | 0.789 | 0.791 | |
| llama2-ICLLearning Strategy=In-context Learning2025.05 | 0.677 | — | 0.79 | 0.818 | |
| llama2-ICLSetting=Zero-shot2025.05 | 0.677 | — | 0.79 | 0.818 | |
| TANGOLearning Strategy=Traditional Method2025.05 | 0.59 | — | 0.646 | 0.677 | |
| llama3-ICLLearning Strategy=In-context Learning2025.05 | 0.569 | — | 0.579 | 0.579 | |
| llama3-ICLSetting=Zero-shot2025.05 | 0.569 | — | 0.579 | 0.579 | |
| MetaTKGRshot=2-shot2022.10 | 0.284 | 0.356 | 0.372 | 0.526 | |
| MetaDyGNNshot=2-shot2022.10 | 0.265 | 0.316 | 0.332 | 0.496 | |
| RE-NETshot=2-shot2022.10 | 0.22 | 0.233 | 0.281 | 0.39 | |
| I-GENshot=2-shot2022.10 | 0.216 | 0.237 | 0.291 | 0.402 | |
| T-GENshot=2-shot2022.10 | 0.2 | 0.26 | 0.278 | 0.379 | |
| RotatEshot=2-shot2022.10 | 0.162 | 0.21 | 0.244 | 0.359 | |
| LANshot=2-shot2022.10 | 0.144 | 0.2 | 0.209 | 0.31 | |
| TransRshot=2-shot2022.10 | 0.14 | 0.198 | 0.217 | 0.312 | |
| TransEshot=2-shot2022.10 | 0.139 | 0.193 | 0.204 | 0.304 |