Node Classification on Chameleon (Accuracy, Average Rank)
73AccuracyFUEL
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FUELMethod Category=Proposed2025.12 | 73 | 2.4 | |
| w/o SKMethod Category=Variants2025.12 | 72.4 | 5.5 | |
| w/o ExpMethod Category=Variants2025.12 | 72.2 | 6.1 | |
| PolyGCLMethod Category=Non-homophilic2025.12 | 70.7 | 9.1 | |
| w/o Step 2Method Category=Variants2025.12 | 70.7 | 8.6 | |
| LHK-GNNSplit setting=dense2026.06 | 70.67 | 4 | |
| DSSLMethod Category=Non-homophilic2025.12 | 68.5 | 13 | |
| BernNetSplit setting=dense2026.06 | 68.29 | 6 | |
| DCQ-GNNSplit setting=dense2026.06 | 68.16 | 2.5 | |
| BGRLMethod Category=CL2025.12 | 66.8 | 8.4 | |
| JacobiConvRuns=10 independent runs2026.06 | 66.34 | 4 | |
| AutoSGNNSplit setting=dense2026.06 | 66.3 | 4.5 | |
| GraphMAEMethod Category=Gen2025.12 | 66.2 | 9.7 | |
| EvenNetRuns=10 independent runs2026.06 | 65.02 | 3.8 | |
| DCQ-GNNRuns=10 independent runs2026.06 | 64.88 | 3 | |
| MaskGAEMethod Category=Gen2025.12 | 64.6 | 9.5 | |
| LHK-GNNRuns=10 independent runs2026.06 | 64.58 | 3.6 | |
| GraphCLMethod Category=CL2025.12 | 64.5 | 10.3 | |
| GREETMethod Category=Non-homophilic2025.12 | 62.8 | 7.8 | |
| BernNetRuns=10 independent runs2026.06 | 61.19 | 3.4 | |
| HGRLMethod Category=Non-homophilic2025.12 | 61.1 | 10.6 | |
| FAGCNRuns=10 independent runs2026.06 | 60.47 | 5.4 | |
| DGIMethod Category=CL2025.12 | 59.8 | 11.7 | |
| H2GCNRuns=10 independent runs2026.06 | 58.91 | 6.8 | |
| HeterGCLMethod Category=Non-homophilic2025.12 | 58.9 | 9.2 | |
| NeCoMethod Category=Non-homophilic2025.12 | 58.3 | 13.1 | |
| GAEMethod Category=Gen2025.12 | 57.9 | 14 | |
| MVGRLMethod Category=CL2025.12 | 57.1 | 12.1 | |
| GCNIISplit setting=dense2026.06 | 54.07 | 3.75 | |
| HLCLMethod Category=Non-homophilic2025.12 | 53.1 | 15.5 | |
| GCNIIRuns=10 independent runs2026.06 | 52.9 | 6 | |
| w/o Step 1Method Category=Variants2025.12 | 52.1 | 8.3 | |
| NodePFNModel=NodePFN, Training Source=Single pre-trained model2026.04 | 50.13 | — | |
| Naive XMethod Category=Naive2025.12 | 49.8 | 14 | |
| GATSplit setting=dense2026.06 | 45.82 | 6 | |
| GCNSplit setting=dense2026.06 | 44.96 | 7.5 | |
| GATRuns=10 independent runs2026.06 | 44.29 | 9.8 | |
| JK-NetRuns=10 independent runs2026.06 | 42.29 | 9.6 | |
| GCNRuns=10 independent runs2026.06 | 41.34 | 10.6 | |
| GCNModel=GCN, Training Source=Target dataset2026.04 | 41.31 | — | |
| GATModel=GAT, Training Source=Target dataset2026.04 | 39.83 | — | |
| GraphAny (Products)Model=GraphAny, Training Source=Products2026.04 | 39.45 | — | |
| MLPModel=MLP, Training Source=Target dataset2026.04 | 38.87 | — | |
| GraphAny (Cora)Model=GraphAny, Training Source=Cora2026.04 | 37.99 | — | |
| GraphAny (Arxiv)Model=GraphAny, Training Source=Arxiv2026.04 | 37.4 | — | |
| GraphAny (Wisconsin)Model=GraphAny, Training Source=Wisconsin2026.04 | 36.67 | — |