Node Classification on Questions (test)
80.02AUROCCO-GNN
Evaluation Results
| Method | Links | |
|---|---|---|
| CO-GNNModel Category=MPNNs2025.05 | 80.02 | |
| CO-GNNAggregator=Σ, Σ2025.05 | 80.02 | |
| POLYNORMER2024.06 | 78.92 | |
| FSGNN2023.05 | 78.86 | |
| FSGNN2023.05 | 78.86 | |
| FSGNNModel Category=Heterophily-Designated GNNs2025.05 | 78.86 | |
| FSGNN2025.05 | 78.86 | |
| NeuralWalker2024.06 | 78.52 | |
| FLODE2023.05 | 78.39 | |
| FLODE2023.05 | 78.39 | |
| MP-SSMModel Category=Ours2025.05 | 78.18 | |
| MP-SSM2025.05 | 78.18 | |
| GT-sep2023.05 | 78.05 | |
| GT-sep2023.05 | 78.05 | |
| GT-sep2025.05 | 78.05 | |
| GT2023.05 | 77.95 | |
| GTModel Category=Graph Transformers2025.05 | 77.95 | |
| GT2025.05 | 77.95 | |
| GPSBackbone=GCN+Performer, PE=LapPE2025.05 | 77.85 | |
| GATPE=RWSE2025.05 | 77.83 | |
| GCNPE=RWSE2025.05 | 77.81 | |
| GCNPE=LapPE2025.05 | 77.79 | |
| GAT2023.05 | 77.43 | |
| GATModel Category=MPNNs2025.05 | 77.43 | |
| GAT2025.05 | 77.43 | |
| FAGCNtable_row=152023.05 | 77.24 | |
| FAGCNModel Category=Heterophily-Designated GNNs2025.05 | 77.24 | |
| FAGCN2025.05 | 77.24 | |
| GPSBackbone=GAT+Performer, PE=RWSE2025.05 | 77.14 | |
| GATPE=DEG2025.05 | 77.1 | |
| GCNPE=DEG2025.05 | 76.96 | |
| GAT-sep2023.05 | 76.79 | |
| GAT(-SEP)2024.06 | 76.79 | |
| GAT-sep2025.05 | 76.79 | |
| GPSBackbone=GAT+Performer, PE=LapPE2025.05 | 76.71 | |
| Gated-GCNModel Category=MPNNs2025.05 | 76.61 | |
| Gated-GCN2025.05 | 76.61 | |
| GATPE=LapPE2025.05 | 76.55 | |
| CO-GNNAggregator=µ, µ2025.05 | 76.54 | |
| GPSBackbone=GAT+Performer, PE=DEG2025.05 | 76.51 | |
| GPSBackbone=GCN+Performer, PE=RWSE2025.05 | 76.45 | |
| GraphSAGE2023.05 | 76.44 | |
| SAGEModel Category=MPNNs2025.05 | 76.44 | |
| SAGE2025.05 | 76.44 | |
| GCN2023.05 | 76.09 | |
| GCN2024.06 | 76.09 | |
| GCNModel Category=MPNNs2025.05 | 76.09 | |
| GCN2025.05 | 76.09 | |
| ResNet+SGC2023.05 | 75.81 | |
| ResNet+SGC2025.05 | 75.81 | |
| ResNet+adj2023.05 | 75.77 | |
| ResNet+adj2025.05 | 75.77 | |
| GOATModel Category=Graph Transformers2025.05 | 75.76 | |
| GOAT2025.05 | 75.76 | |
| GBK-GNN2023.05 | 74.47 | |
| GBK-GNNModel Category=Heterophily-Designated GNNs2025.05 | 74.47 | |
| GBK-GNN2025.05 | 74.47 | |
| GPSBackbone=GCN+Performer, PE=DEG2025.05 | 74.24 | |
| EXPHORMER2024.06 | 73.94 | |
| ExphormerModel Category=Graph Transformers2025.05 | 73.94 | |
| Exphormer2025.05 | 73.94 | |
| JacobiConv2023.05 | 73.88 | |
| JacobiConv2025.05 | 73.88 | |
| GPS2024.06 | 71.73 | |
| GPSModel Category=Graph Transformers2025.05 | 71.73 | |
| GPS2025.05 | 71.73 | |
| NAG-MASAugmentation=MAS2026.06 | 71.3 | |
| SGC-12025.05 | 71.06 | |
| CR-MASAugmentation=MAS2026.06 | 70.6 | |
| ResNet2023.05 | 70.34 | |
| ResNet2025.05 | 70.34 | |
| MLP-12025.05 | 70.33 | |
| NAG2026.06 | 70.2 | |
| MLP-22025.05 | 69.97 | |
| CR-TASAugmentation=TAS2026.06 | 69.7 | |
| NAG-TASAugmentation=TAS2026.06 | 69.1 | |
| NAGPHORMER2024.06 | 68.17 | |
| NAGphormer2025.05 | 68.17 | |
| GPS2026.06 | 68.1 | |
| GPS-MASAugmentation=MAS2026.06 | 66.1 | |
| CPGNN2023.05 | 65.96 | |
| CPGNN2025.05 | 65.96 | |
| GloGNN2023.05 | 65.74 | |
| GloGNN2025.05 | 65.74 | |
| GPS-TASAugmentation=TAS2026.06 | 65.7 | |
| GCN-MASAugmentation=MAS2026.06 | 65.4 | |
| VCR-TASAugmentation=TAS2026.06 | 64.2 | |
| GCN-TASAugmentation=TAS2026.06 | 64 | |
| FAGCNtable_row=102023.05 | 63.59 | |
| H2GCNModel Category=Heterophily-Designated GNNs2025.05 | 63.59 | |
| H2GCN2025.05 | 63.59 | |
| VCR-MASAugmentation=MAS2026.06 | 62.7 | |
| VCR2026.06 | 59.7 | |
| H2GCN2023.05 | 55.48 | |
| GPR-GNNModel Category=Heterophily-Designated GNNs2025.05 | 55.48 | |
| GPR-GNN2025.05 | 55.48 | |
| GCN2026.06 | 54 |