Graph Classification on Peptides-Func
75APMinCut
Evaluation results
| Method | Links | |
|---|---|---|
| MinCut2025.12 | 75 | |
| ACC2025.12 | 75 | |
| DMoN2025.12 | 74 | |
| S3GNNModel Type=GNN2026.05 | 73.2 | |
| S2GNN + PEModel Type=GNN2026.05 | 73.11 | |
| S2GCN2026.06 | 73.11 | |
| Our Method2026.03 | 73.1 | |
| BNPool2025.12 | 73 | |
| k-MIS2025.12 | 73 | |
| HOSC2025.12 | 73 | |
| S2GNNModel Type=GNN2026.05 | 72.75 | |
| DRAGON2026.04 | 72.4 | |
| MAVNBackbone=GCN2026.06 | 72.38 | |
| IPR-MPNN2026.06 | 72.1 | |
| NBA2026.06 | 72.07 | |
| ASAP2025.12 | 72 | |
| ECPool2025.12 | 72 | |
| GraClus2025.12 | 72 | |
| NDP2025.12 | 72 | |
| UniGCN2026.06 | 71.73 | |
| AMP2026.06 | 71.61 | |
| GCN+2026.04 | 71.6 | |
| DRew-GCN + PEModel Type=Rewiring2026.05 | 71.5 | |
| DRew2026.06 | 71.5 | |
| HGODE2026.04 | 71.4 | |
| HGODE2026.04 | 71.4 | |
| BuNN2026.04 | 71.2 | |
| GREAD-Exp2026.04 | 71.1 | |
| LaPool2025.12 | 71 | |
| SAG2025.12 | 71 | |
| Top-k2025.12 | 71 | |
| GMNModel Type=State Space2026.05 | 70.71 | |
| MAVNBackbone=GatedGCN2026.06 | 70.7 | |
| GREAD-BS2026.04 | 70.4 | |
| Stable-ChebNetModel Type=GNN2026.05 | 70.32 | |
| DRew-GCNModel Type=Rewiring2026.05 | 69.96 | |
| MP-SSMModel Type=State Space2026.05 | 69.93 | |
| GCNII2026.04 | 69.9 | |
| Co-GNN2026.06 | 69.9 | |
| GRITModel Type=Transformer2026.05 | 69.88 | |
| GRIT2026.06 | 69.88 | |
| FROND2026.04 | 69.8 | |
| Graph-ViT-MLPMixer2026.03 | 69.7 | |
| ChebNetModel Type=GNN2026.05 | 69.61 | |
| GatedGCN+FNModel Type=VN2026.05 | 69.5 | |
| MeGraph2026.06 | 69.45 | |
| Graph ViTModel Type=Transformer2026.05 | 69.42 | |
| Graph ViT2026.06 | 69.42 | |
| G.MLPMixerModel Type=Transformer2026.05 | 69.21 | |
| JBPool2025.12 | 69 | |
| MAVNBackbone=GINE2026.06 | 68.97 | |
| HGODEvariant=w/o force margin2026.04 | 68.9 | |
| GatedGCN+VN†Model Type=VN2026.05 | 68.8 | |
| GCNModel Type=GNN2026.05 | 68.6 | |
| GCN*2026.06 | 68.6 | |
| GCN2026.04 | 68.3 | |
| PR-MPNN2026.06 | 68.25 | |
| MPNN+VN2026.06 | 68.23 | |
| MPNN+VNG2026.06 | 68.22 | |
| GatedGCN+VN‡Model Type=VN2026.05 | 68.1 | |
| MaxCut2025.12 | 68 | |
| PAN2025.12 | 68 | |
| ACMP2026.04 | 67.9 | |
| Sheaf Diff.2026.04 | 67.8 | |
| GCN+FNModel Type=VN2026.05 | 67.8 | |
| GatedGCN*2026.06 | 67.65 | |
| SWANModel Type=GNN2026.05 | 67.51 | |
| FLODE2026.04 | 67.4 | |
| Graph-MambaModel Class=SSM2026.01 | 67.39 | |
| Graph MambaModel Type=State Space2026.05 | 67.39 | |
| BiScale-GTR (Molecule)2026.04 | 67.17 | |
| HGODEvariant=w/o hysteresis2026.04 | 67.1 | |
| FragFormer2026.04 | 66.93 | |
| SpecformerModel Type=Transformer2026.05 | 66.86 | |
| FragNet2026.03 | 66.8 | |
| TIGTModel Type=Transformer2026.05 | 66.79 | |
| GRAND2026.04 | 66.3 | |
| GINE*2026.06 | 66.21 | |
| QUESTAttention=QUEST2026.03 | 66.2 | |
| Subgraphormer2026.04 | 66.1 | |
| Diffpool2025.12 | 66 | |
| GraphGPS2026.04 | 65.5 | |
| StandardAttention=Standard2026.03 | 65.4 | |
| GCN+VNModel Type=VN2026.05 | 65.4 | |
| GPSModel Class=GT2026.01 | 65.35 | |
| GraphGPS*2026.06 | 65.34 | |
| HGODEvariant=w/o topo. search2026.04 | 65.3 | |
| ExphormerModel Type=Transformer2026.05 | 65.27 | |
| Exphormer2026.06 | 65.27 | |
| CGNN2026.04 | 65.1 | |
| LASER2026.06 | 64.89 | |
| LASERModel Type=Rewiring2026.05 | 64.4 | |
| SAN + RWSE2026.04 | 64.39 | |
| SAN + LapPE2026.04 | 63.84 | |
| SAN+LapPEModel Type=Transformer2026.05 | 63.84 | |
| GraphGT2026.03 | 63.26 | |
| Transformer + LapPE2026.04 | 63.26 | |
| GDE2026.04 | 63.2 | |
| GraphFP2026.04 | 62.67 | |
| ExphormerModel Class=GT2026.01 | 62.58 |