Node classification on Tolokers (test)
86.23AUROCGRAMAGCN
Evaluation Results
| Method | Links | |
|---|---|---|
| GRAMAGCNarchitecture_type=Graph SSMs2026.05 | 86.23 | |
| POLYNORMER2024.06 | 85.91 | |
| Polynomialarchitecture_type=Graph Transformers2026.05 | 85.91 | |
| S3GNNarchitecture_type=Graph SSMs2026.05 | 85.89 | |
| NeuralWalker2024.06 | 85.56 | |
| MP-SSMarchitecture_type=Graph SSMs2026.05 | 85.26 | |
| MP-SSMModel Category=Ours2025.05 | 85.26 | |
| MP-SSM2025.05 | 85.26 | |
| GCN (RWSE)architecture_type=MPNNs2026.05 | 85.11 | |
| GCNPE=RWSE2025.05 | 85.11 | |
| GAT (RWSE)architecture_type=MPNNs2026.05 | 85.02 | |
| GATPE=RWSE2025.05 | 85.02 | |
| GAT (LapPE)architecture_type=MPNNs2026.05 | 84.99 | |
| GATPE=LapPE2025.05 | 84.99 | |
| GCN (LapPE)architecture_type=MPNNs2026.05 | 84.95 | |
| GCNPE=LapPE2025.05 | 84.95 | |
| GPS_GCN+Performer (RWSE)architecture_type=Graph Transformers2026.05 | 84.81 | |
| GPSBackbone=GCN+Performer, PE=RWSE2025.05 | 84.81 | |
| GPS_GCN+Performer (LapPE)architecture_type=Graph Transformers2026.05 | 84.72 | |
| GPSBackbone=GCN+Performer, PE=LapPE2025.05 | 84.72 | |
| GPSBackbone=GAT+Transformer, PE=LapPE2025.05 | 84.7 | |
| GPSBackbone=GAT+Performer, PE=LapPE2025.05 | 84.62 | |
| GMNarchitecture_type=Graph SSMs2026.05 | 84.52 | |
| GMNModel Category=Graph SSMs2025.05 | 84.52 | |
| GMN2025.05 | 84.52 | |
| CO-GNN(μ, μ)architecture_type=MPNNs2026.05 | 84.45 | |
| CO-GNNModel Category=MPNNs2025.05 | 84.45 | |
| CO-GNNAggregator=µ, µ2025.05 | 84.45 | |
| GPSBackbone=GAT+Performer, PE=RWSE2025.05 | 84.38 | |
| GATPE=DEG2025.05 | 84.22 | |
| FLODE2023.05 | 84.17 | |
| FLODE2023.05 | 84.17 | |
| GPSBackbone=GAT+Transformer, PE=RWSE2025.05 | 84.01 | |
| GAT-sep2023.05 | 83.78 | |
| GAT-sep2023.05 | 83.78 | |
| GAT(-SEP)2024.06 | 83.78 | |
| GAT-sep2025.05 | 83.78 | |
| EXPHORMER2024.06 | 83.77 | |
| Exphormerarchitecture_type=Graph Transformers2026.05 | 83.77 | |
| ExphormerModel Category=Graph Transformers2025.05 | 83.77 | |
| Exphormer2025.05 | 83.77 | |
| GPS2024.06 | 83.71 | |
| GPSarchitecture_type=Graph Transformers2026.05 | 83.71 | |
| GPSModel Category=Graph Transformers2025.05 | 83.71 | |
| GPS2025.05 | 83.71 | |
| GAT2023.05 | 83.7 | |
| GAT2023.05 | 83.7 | |
| GATarchitecture_type=MPNNs2026.05 | 83.7 | |
| GPS + Mambaarchitecture_type=Graph SSMs2026.05 | 83.7 | |
| GATModel Category=MPNNs2025.05 | 83.7 | |
| GPS+MambaModel Category=Graph SSMs2025.05 | 83.7 | |
| GAT2025.05 | 83.7 | |
| GPS + Mamba2025.05 | 83.7 | |
| GCN2023.05 | 83.64 | |
| GCN2024.06 | 83.64 | |
| GCNarchitecture_type=MPNNs2026.05 | 83.64 | |
| GCNModel Category=MPNNs2025.05 | 83.64 | |
| GCN2025.05 | 83.64 | |
| GPSBackbone=GCN+Transformer, PE=RWSE2025.05 | 83.53 | |
| GPSBackbone=GCN+Transformer, PE=LapPE2025.05 | 83.51 | |
| CO-GNN(Σ, Σ)architecture_type=MPNNs2026.05 | 83.36 | |
| CO-GNNAggregator=Σ, Σ2025.05 | 83.36 | |
| GT2023.05 | 83.23 | |
| GTarchitecture_type=Graph Transformers2026.05 | 83.23 | |
| GTModel Category=Graph Transformers2025.05 | 83.23 | |
| GT2025.05 | 83.23 | |
| GOATarchitecture_type=Graph Transformers2026.05 | 83.11 | |
| GOATModel Category=Graph Transformers2025.05 | 83.11 | |
| GOAT2025.05 | 83.11 | |
| FSGNN2023.05 | 82.76 | |
| FSGNNarchitecture_type=Heterophily-Designated GNNs2026.05 | 82.76 | |
| FSGNNModel Category=Heterophily-Designated GNNs2025.05 | 82.76 | |
| FSGNN2025.05 | 82.76 | |
| GT-sep2023.05 | 82.52 | |
| GT-separchitecture_type=Graph Transformers2026.05 | 82.52 | |
| GT-sep2025.05 | 82.52 | |
| GCNPE=DEG2025.05 | 82.51 | |
| GPSBackbone=GAT+Performer, PE=DEG2025.05 | 82.45 | |
| GraphSAGE2023.05 | 82.43 | |
| SAGEarchitecture_type=MPNNs2026.05 | 82.43 | |
| SAGEModel Category=MPNNs2025.05 | 82.43 | |
| SAGE2025.05 | 82.43 | |
| GPSBackbone=GAT+Transformer, PE=DEG2025.05 | 81.89 | |
| GBK-GNN2023.05 | 81.01 | |
| GBK-GNNarchitecture_type=Heterophily-Designated GNNs2026.05 | 81.01 | |
| GBK-GNNModel Category=Heterophily-Designated GNNs2025.05 | 81.01 | |
| GBK-GNN2025.05 | 81.01 | |
| GPSBackbone=GCN+Transformer, PE=DEG2025.05 | 80.82 | |
| ResNet+SGC2023.05 | 80.7 | |
| ResNet+SGC2025.05 | 80.7 | |
| GPSBackbone=GCN+Performer, PE=DEG2025.05 | 80.49 | |
| ResNet+adj2023.05 | 78.78 | |
| ResNet+adj2025.05 | 78.78 | |
| NAGPHORMER2024.06 | 78.32 | |
| NAGphormerarchitecture_type=Graph Transformers2026.05 | 78.32 | |
| NAGphormer2025.05 | 78.32 | |
| FAGCNtable_row=152023.05 | 77.75 | |
| FAGCNarchitecture_type=Heterophily-Designated GNNs2026.05 | 77.75 | |
| FAGCNModel Category=Heterophily-Designated GNNs2025.05 | 77.75 | |
| FAGCN2025.05 | 77.75 |