Node Classification on DBLP
94.86AccuracyAdvSynGNN
Evaluation results
| Method | Links | |
|---|---|---|
| AdvSynGNN2026.02 | 94.86 | |
| Graphormer2026.02 | 92.6 | |
| SGFormer2026.02 | 92.2 | |
| LargeGT2026.02 | 91.85 | |
| GTGAN2026.02 | 90.25 | |
| TenGAN2026.02 | 89.5 | |
| Att-GAN2026.02 | 88.25 | |
| GMP-GL2026.02 | 87.9 | |
| DnnGAN2026.02 | 87.45 | |
| CNAArchitecture=GCN2024.12 | 86.9 | |
| GCN2026.02 | 86.01 | |
| GRACETraining Data=X, A2020.06 | 84.2 | |
| GRACEArchitecture=GRACE2024.12 | 84.2 | |
| DGITraining Data=X, A2020.06 | 83.2 | |
| GCNTraining Data=X, A, Y2020.06 | 82.7 | |
| GraphGAN2026.02 | 82.3 | |
| VGAETraining Data=X, A2020.06 | 81.7 | |
| SGCTraining Data=X, A, Y2020.06 | 81.7 | |
| GAETraining Data=X, A2020.06 | 81.2 | |
| SuperGATMxNumber of runs=1002022.04 | 80.7 | |
| SuperGATSDNumber of runs=1002022.04 | 79.4 | |
| GLITTERsetting=5-way 3-shot, graph_environment=single-graph2022.10 | 79.3 | |
| node2vecTraining Data=A2020.06 | 78.8 | |
| GraphSAGENumber of runs=1002022.04 | 78.7 | |
| FIT-GNNBackbone=GCN, Reduction Ratio=0.32024.10 | 78.6 | |
| GATNumber of runs=1002022.04 | 78.2 | |
| DeepWalk + featuresTraining Data=X, A2020.06 | 78.1 | |
| GCNNumber of runs=1002022.04 | 77.8 | |
| FIT-GNNBackbone=GAT, Reduction Ratio=0.32024.10 | 77.1 | |
| DeepWalkTraining Data=A2020.06 | 75.9 | |
| GCONDBackbone=GCN, Reduction Ratio=0.52024.10 | 75.5 | |
| GPNsetting=5-way 3-shot, graph_environment=single-graph2022.10 | 75.4 | |
| RALEsetting=5-way 3-shot, graph_environment=single-graph2022.10 | 74.9 | |
| GCONDBackbone=GCN, Reduction Ratio=0.32024.10 | 74.8 | |
| SGGCBackbone=GCN, Reduction Ratio=0.32024.10 | 73.7 | |
| SGGCBackbone=GCN, Reduction Ratio=0.52024.10 | 73.3 | |
| G-Metasetting=5-way 3-shot, graph_environment=single-graph2022.10 | 73.1 | |
| FullBackbone=GCN, Reduction Ratio=1.02024.10 | 72.4 | |
| FIT-GNNBackbone=GAT, Reduction Ratio=0.52024.10 | 72 | |
| Raw featuresTraining Data=X2020.06 | 71.6 | |
| GraphAnyEvaluation protocol=Zero-shot2026.03 | 71.48 | |
| FullBackbone=GAT, Reduction Ratio=1.02024.10 | 71.3 | |
| BONSAIBackbone=GCN, Reduction Ratio=0.52024.10 | 70.2 | |
| FIT-GNNBackbone=GCN, Reduction Ratio=0.52024.10 | 70 | |
| GOBLINEvaluation protocol=Zero-shot2026.03 | 69.68 | |
| GLITTERsetting=10-way 3-shot, graph_environment=single-graph2022.10 | 69.5 | |
| BONSAIBackbone=GAT, Reduction Ratio=0.52024.10 | 68.1 | |
| GATEvaluation protocol=End-to-end2026.03 | 67.34 | |
| BONSAIBackbone=GAT, Reduction Ratio=0.32024.10 | 66.5 | |
| TS-MeanEvaluation protocol=Zero-shot2026.03 | 66.42 | |
| Meta-GNNsetting=5-way 3-shot, graph_environment=single-graph2022.10 | 66.4 | |
| RALEsetting=10-way 3-shot, graph_environment=single-graph2022.10 | 65.1 | |
| MeanGNNEvaluation protocol=End-to-end2026.03 | 65.01 | |
| GPNsetting=10-way 3-shot, graph_environment=single-graph2022.10 | 64 | |
| KNNsetting=5-way 3-shot, graph_environment=single-graph2022.10 | 63.4 | |
| SGGCBackbone=GAT, Reduction Ratio=0.32024.10 | 62.6 | |
| SGGCBackbone=GAT, Reduction Ratio=0.52024.10 | 60.4 | |
| MAMLsetting=5-way 3-shot, graph_environment=single-graph2022.10 | 60.4 | |
| ProtoNetsetting=5-way 3-shot, graph_environment=single-graph2022.10 | 58.5 | |
| Meta-GNNsetting=10-way 3-shot, graph_environment=single-graph2022.10 | 58 | |
| G-Metasetting=10-way 3-shot, graph_environment=single-graph2022.10 | 57.5 | |
| KNNsetting=10-way 3-shot, graph_environment=single-graph2022.10 | 54.1 | |
| MAMLsetting=10-way 3-shot, graph_environment=single-graph2022.10 | 52.3 | |
| ProtoNetsetting=10-way 3-shot, graph_environment=single-graph2022.10 | 51.3 | |
| BONSAIBackbone=GCN, Reduction Ratio=0.32024.10 | 48.5 | |
| GCONDBackbone=GAT, Reduction Ratio=0.32024.10 | 48.1 | |
| GCONDBackbone=GAT, Reduction Ratio=0.52024.10 | 46.4 | |
| TSA-TENTBackbone=GraphSAGE2025.02 | 37.06 | |
| TENTBackbone=GraphSAGE2025.02 | 36.59 | |
| SOGABackbone=GraphSAGE2025.02 | 35.74 | |
| TSA-T3ABackbone=GraphSAGE2025.02 | 35.3 | |
| T3ABackbone=GraphSAGE2025.02 | 35.29 | |
| GTransBackbone=GraphSAGE2025.02 | 34.47 | |
| HomoTTTBackbone=GraphSAGE2025.02 | 31.25 | |
| ActMADBackbone=GraphSAGE2025.02 | 29.47 | |
| ERMBackbone=GraphSAGE2025.02 | 28.95 | |
| TSA-LAMEBackbone=GraphSAGE2025.02 | 28.66 | |
| LAMEBackbone=GraphSAGE2025.02 | 28.02 |