Node Classification on AirUS
61.66AccuracyNodePFN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NodePFNModel=NodePFN, Training Source=Single pre-trained model2026.04 | 61.66 | — | |
| GOBLINEvaluation protocol=Zero-shot2026.03 | 51.78 | — | |
| GATModel=GAT, Training Source=Target dataset2026.04 | 48.47 | — | |
| GCNModel=GCN, Training Source=Target dataset2026.04 | 46.49 | — | |
| MeanGNNEvaluation protocol=End-to-end2026.03 | 43.93 | — | |
| GraphAny (Wisconsin)Model=GraphAny, Training Source=Wisconsin2026.04 | 43.86 | — | |
| GraphAny (Arxiv)Model=GraphAny, Training Source=Arxiv2026.04 | 43.64 | — | |
| GraphAny (Products)Model=GraphAny, Training Source=Products2026.04 | 43.57 | — | |
| GraphAny (Cora)Model=GraphAny, Training Source=Cora2026.04 | 43.46 | — | |
| GraphAnyEvaluation protocol=Zero-shot2026.03 | 43.35 | — | |
| GATEvaluation protocol=End-to-end2026.03 | 43.03 | — | |
| TS-MeanEvaluation protocol=Zero-shot2026.03 | 42.34 | — | |
| MLPModel=MLP, Training Source=Target dataset2026.04 | 22.88 | — |