Node Classification on city-reviews RL
80.65AccuracyG2T-LimiX
Evaluation results
| Method | Links | ||
|---|---|---|---|
| G2T-LimiXEvaluation Protocol=Fine-Tuning (FT)2025.08 | 80.65 | — | |
| G2T-TabPFNv2.5Evaluation Protocol=In-Context Learning (ICL)2025.08 | 79.99 | — | |
| G2T-LimiXEvaluation Protocol=In-Context Learning (ICL)2025.08 | 78.98 | — | |
| G2T-TabPFNv2Evaluation Protocol=Fine-Tuning (FT)2025.08 | 78.69 | — | |
| LightGBM-NFA2025.08 | 78.53 | — | |
| GraphSAGE2025.08 | 78.17 | — | |
| GCN2025.08 | 77.81 | — | |
| GAT2025.08 | 77.74 | — | |
| GT2025.08 | 77.34 | — | |
| G2T-TabPFNv2Evaluation Protocol=In-Context Learning (ICL)2025.08 | 77.28 | — | |
| GCOPEEvaluation Protocol=Fine-Tuning (FT)2025.08 | 67.16 | — | |
| AnyGraphEvaluation Protocol=In-Context Learning (ICL)2025.08 | 63.71 | — | |
| OpenGraphEvaluation Protocol=In-Context Learning (ICL)2025.08 | 59.09 | — | |
| SAMGPTEvaluation Protocol=Fine-Tuning (FT)2025.08 | 45.91 | — | |
| TS-GNNEvaluation Protocol=In-Context Learning (ICL)2025.08 | 43.46 | — | |
| MDGFMEvaluation Protocol=Fine-Tuning (FT)2025.08 | 31.24 | — |