MAG
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Object classification | MAG | Mic-F198.37 | 24 | |
| Knowledge Graph Retrieval | MAG (test) | H@165.4 | 14 | |
| Node Classification | MAG FR → JP | Accuracy60.05 | 9 | |
| Node Classification | MAG FR → RU | Performance85.15 | 9 | |
| Node Classification | MAG CN -> FR (test) | Accuracy34.42 | 8 | |
| Node Classification | MAG CN -> RU (test) | Accuracy36.68 | 8 | |
| Node Classification | MAG CN -> JP (test) | Accuracy43.28 | 8 | |
| Node Classification | MAG CN -> DE (test) | Accuracy31.55 | 8 | |
| Node Classification | MAG CN -> US (test) | Accuracy45.42 | 8 | |
| Node Classification | MAG US -> FR (test) | Accuracy32.29 | 8 | |
| Node Classification | MAG US -> RU (test) | Accuracy40.24 | 8 | |
| Node Classification | MAG US -> JP (test) | Accuracy51.55 | 8 | |
| Node Classification | MAG US -> DE (test) | Accuracy0.4024 | 8 | |
| Node Classification | MAG US -> CN (test) | Accuracy40.06 | 8 | |
| Object clustering | MAG | NMI90.65 | 6 | |
| Knowledge Graph Question Answering | MAG | Precision55.43 | 3 | |
| Question Answering | MAG (test) | Win Ratio64 | 2 |
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