Node Classification on WikiCS inductive (test)
37.81AccuracyADAR
Evaluation Results
| Method | Links | |
|---|---|---|
| ADARTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 37.81 | |
| OFATrainable Params=100%, Total Params=5.1M, Evaluation Setting=Zero-shot Inductive2026.06 | 36.89 | |
| UNIGTETrainable Params=0.54%, Total Params=13.7B, Evaluation Setting=Zero-shot Inductive2026.06 | 34.91 | |
| GATTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 31.33 | |
| GRAPHSAGETrainable Params=100%, Total Params=0.6M, Evaluation Setting=Zero-shot Inductive2026.06 | 30.44 | |
| VICUNA-7BTrainable Params=-, Total Params=6.7B, Evaluation Setting=Zero-shot Inductive2026.06 | 29.31 | |
| GCNTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 27.21 | |
| MDGFMTrainable Params=100%, Total Params=0.4M†, Evaluation Setting=Zero-shot Inductive2026.06 | 22.87 | |
| N2Trainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 22.39 | |
| GCNIITrainable Params=100%, Total Params=0.5M, Evaluation Setting=Zero-shot Inductive2026.06 | 11.57 | |
| DGITrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 8.26 | |
| GRACETrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 7.26 | |
| GFTTrainable Params=100%, Total Params=0.4M†, Evaluation Setting=Zero-shot Inductive2026.06 | 6.77 | |
| RIEMANNGFMTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.06 | 4.26 | |
| LLAGATrainable Params=0.02%, Total Params=6.7B, Evaluation Setting=Zero-shot Inductive2026.06 | 2.65 |