Node Classification on Reddit (test)
97.21AccuracyDeeper-GXX
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Deeper-GXXBackbone=GCN, Hidden layers=60, Hidden dimension=502021.10 | 97.21 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0.1, # Partitions=22022.03 | 97.17 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0.1, # Partitions=42022.03 | 97.16 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0.1, # Partitions=82022.03 | 97.15 | — | — | — | — | — | — | — | |
| BNS-GCNPartitions=22023.08 | 97.14 | — | — | — | — | — | — | — | |
| CoFree-GNN+DropEdge-KPartitions=22023.08 | 97.14 | — | — | — | — | — | — | — | |
| PipeGCNPartitions=22023.08 | 97.12 | — | — | — | — | — | — | — | |
| BNS-GCNPartitions=42023.08 | 97.12 | — | — | — | — | — | — | — | |
| CoFree-GNNPartitions=22023.08 | 97.12 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=1, # Partitions=22022.03 | 97.11 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=1, # Partitions=42022.03 | 97.11 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=1, # Partitions=82022.03 | 97.11 | — | — | — | — | — | — | — | |
| CoFree-GNN+DropEdge-KPartitions=42023.08 | 97.11 | — | — | — | — | — | — | — | |
| CoFree-GNNPartitions=42023.08 | 97.1 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0.01, # Partitions=22022.03 | 97.09 | — | — | — | — | — | — | — | |
| PipeGCNPartitions=42023.08 | 97.04 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0, # Partitions=22022.03 | 97.03 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0.01, # Partitions=42022.03 | 96.99 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0.01, # Partitions=82022.03 | 96.94 | — | — | — | — | — | — | — | |
| Deeper-GXX-SBackbone=GCN, Hidden layers=60, Hidden dimension=502021.10 | 96.93 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0, # Partitions=42022.03 | 96.88 | — | — | — | — | — | — | — | |
| BNS-GCNSampling Rate (p)=0, # Partitions=82022.03 | 96.84 | — | — | — | — | — | — | — | |
| SIGN2022.02 | 96.8 | — | — | — | — | — | — | — | |
| GraphSAINT2023.08 | 96.63 | — | — | — | — | — | — | — | |
| ClusterGCN2022.03 | 96.6 | — | — | — | — | — | — | — | |
| GraphSAINT2022.03 | 96.6 | — | — | — | — | — | — | — | |
| DistDGLPartitions=22023.08 | 96.51 | — | — | — | — | — | — | — | |
| GAT-NSVariant=NGNN2021.11 | 96.45 | — | — | — | — | — | — | — | |
| AS-GCN2022.03 | 96.3 | — | — | — | — | — | — | — | |
| VR-GCN2022.03 | 96.3 | — | — | — | — | — | — | — | |
| ScaleGNNSampling Strategy=uniform vertex sampling with unbiased edge rescaling2026.04 | 96.3 | — | — | — | — | — | — | — | |
| DistDGLPartitions=42023.08 | 96.28 | — | — | — | — | — | — | — | |
| Adaptvariance reduction=true2018.09 | 96.27 | — | — | — | — | — | — | — | |
| PCAPassclassifier=XGBoost2022.02 | 96.26 | — | — | — | — | — | — | — | |
| GraphSageVariant=NGNN2021.11 | 96.21 | — | — | — | — | — | — | — | |
| GraphSAINT (node)Sampling Strategy=node sampling2026.04 | 96.2 | — | — | — | — | — | — | — | |
| GraphSageVariant=Vanilla2021.11 | 96.19 | — | — | — | — | — | — | — | |
| NS-SAGEBackbone=SAGE-Mean2021.10 | 96.15 | — | — | — | — | — | — | — | |
| GAT-NSVariant=Vanilla2021.11 | 96.12 | — | — | — | — | — | — | — | |
| Cluster-GCN2023.08 | 95.92 | — | — | — | — | — | — | — | |
| GraphSAINT-RWBackbone=SAGE-Mean2021.10 | 95.81 | — | — | — | — | — | — | — | |
| DGCType=Linear2021.02 | 95.8 | — | — | — | — | — | — | — | |
| Fullsampling=full-batch2018.09 | 95.68 | — | — | — | — | — | — | — | |
| GAT-FLAGVariant=NGNN2021.11 | 95.68 | — | — | — | — | — | — | — | |
| GraphSAGE2023.08 | 95.67 | — | — | — | — | — | — | — | |
| GraphSAGE-LSTMType=Non-linear2021.02 | 95.4 | — | — | — | — | — | — | — | |
| GraphSAGE2022.02 | 95.4 | — | — | — | — | — | — | — | |
| GraphSAGE2022.03 | 95.4 | — | — | — | — | — | — | — | |
| GraphSAGESampling Strategy=neighbor sampling2026.04 | 95.4 | — | — | — | — | — | — | — | |
| GraphSage-ClusterVariant=NGNN2021.11 | 95.34 | — | — | — | — | — | — | — | |
| GraphSage-ClusterVariant=Vanilla2021.11 | 95.27 | — | — | — | — | — | — | — | |
| GAT-FLAGVariant=Vanilla2021.11 | 95.27 | — | — | — | — | — | — | — | |
| Adaptvariance reduction=false2018.09 | 95.01 | — | — | — | — | — | — | — | |
| GraphSAGE-meanType=Non-linear2021.02 | 95 | — | — | — | — | — | — | — | |
| APPNPType=Non-linear2021.02 | 95 | — | — | — | — | — | — | — | |
| SGCType=Linear2021.02 | 94.9 | — | — | — | — | — | — | — | |
| Cluster-GCNBackbone=SAGE-Mean2021.10 | 94.56 | — | — | — | — | — | — | — | |
| Node-Wisesampling=node-wise2018.09 | 94.49 | — | — | — | — | — | — | — | |
| VQ-GNNBackbone=SAGE-Mean2021.10 | 94.49 | — | — | — | — | — | — | — | |
| DFA-GNNTraining Algorithm=Direct Feedback Alignment for GNN2024.06 | 94.49 | — | — | — | — | — | — | — | |
| VQ-GNNBackbone=GAT2021.10 | 94.38 | — | — | — | — | — | — | — | |
| SFTraining Algorithm=Selective Feedback2024.06 | 94.38 | — | — | — | — | — | — | — | |
| BPTraining Algorithm=Backpropagation2024.06 | 94.34 | — | — | — | — | — | — | — | |
| GraphSAGE2018.09 | 94.32 | — | — | — | — | — | — | — | |
| GraphSAINT-RWBackbone=GAT2021.10 | 94.31 | — | — | — | — | — | — | — | |
| LADIES2022.03 | 94.3 | — | — | — | — | — | — | — | |
| NS-SAGEBackbone=GAT2021.10 | 94.26 | — | — | — | — | — | — | — | |
| VQ-GNNBackbone=GCN2021.10 | 93.99 | — | — | — | — | — | — | — | |
| DDFIMissing Type=Uniform2025.12 | 93.95 | — | — | — | — | — | — | — | |
| WholeFull Dataset=true2023.10 | 93.9 | — | — | — | — | — | — | — | |
| Whole Dataset2026.05 | 93.9 | — | — | — | — | — | — | — | |
| PairNorm + ResNetBackbone=GCN, Hidden layers=60, Hidden dimension=502021.10 | 93.85 | — | — | — | — | — | — | — | |
| Cluster-GCNBackbone=GAT2021.10 | 93.8 | — | — | — | — | — | — | — | |
| FastGCN2018.09 | 93.7 | — | — | — | — | — | — | — | |
| FastGCNType=Non-linear2021.02 | 93.7 | — | — | — | — | — | — | — | |
| FastGCN2022.03 | 93.7 | — | — | — | — | — | — | — | |
| RandDGIType=Linear2021.02 | 93.3 | — | — | — | — | — | — | — | |
| GraphSAGE-GCNType=Non-linear2021.02 | 93 | — | — | — | — | — | — | — | |
| Cluster-GCNBackbone=GCN2021.10 | 92.64 | — | — | — | — | — | — | — | |
| SP-ESGCRatio (r)=0.20%2026.05 | 92.3 | — | — | — | — | — | — | — | |
| DDFIMissing Type=Structural2025.12 | 92.27 | — | — | — | — | — | — | — | |
| GraphSAINT-RWBackbone=GCN2021.10 | 92.25 | — | — | — | — | — | — | — | |
| SGDDRatio (r)=0.05%2023.10 | 91.8 | — | — | — | — | — | — | — | |
| SGDDRatio (r)=0.50%2023.10 | 91.6 | — | — | — | — | — | — | — | |
| SP-ESGCRatio (r)=0.10%2026.05 | 91.6 | — | — | — | — | — | — | — | |
| CaFo+CETraining Algorithm=CaFo with Cross Entropy Loss2024.06 | 91.55 | — | — | — | — | — | — | — | |
| SimGCRatio (r)=0.20%2026.05 | 91.4 | — | — | — | — | — | — | — | |
| SGDDRatio (r)=0.20%2026.05 | 91.3 | — | — | — | — | — | — | — | |
| SP-ESGCRatio (r)=0.05%2026.05 | 90.7 | — | — | — | — | — | — | — | |
| SGDDRatio (r)=0.10%2026.05 | 90.7 | — | — | — | — | — | — | — | |
| SimGCRatio (r)=0.10%2026.05 | 90.6 | — | — | — | — | — | — | — | |
| PaGNNMissing Type=Structural2025.12 | 90.57 | — | — | — | — | — | — | — | |
| GDCRatio (r)=0.50%2023.10 | 90.5 | — | — | — | — | — | — | — | |
| SGDDRatio (r)=0.01%2023.10 | 90.5 | — | — | — | — | — | — | — | |
| SGDDRatio (r)=0.05%2026.05 | 90.3 | — | — | — | — | — | — | — | |
| PairNormBackbone=GCN, Hidden layers=60, Hidden dimension=502021.10 | 90.17 | — | — | — | — | — | — | — | |
| GcondRatio (r)=0.50%2023.10 | 90.1 | — | — | — | — | — | — | — | |
| GcondRatio (r)=0.20%2026.05 | 90.1 | — | — | — | — | — | — | — | |
| SFGCRatio (r)=0.10%2026.05 | 90 | — | — | — | — | — | — | — | |
| SFGCRatio (r)=0.20%2026.05 | 89.9 | — | — | — | — | — | — | — |