Node Classification on PPI
99.09F1 Score (micro)GB-CGNN
Evaluation Results
| Method | Links | |
|---|---|---|
| GB-CGNN2026.03 | 99.09 | |
| Cluster-GCN2026.03 | 99.03 | |
| GB-CGNNfine-grained binary splitting=false2026.03 | 99.01 | |
| GATLearning paradigm=Supervised2022.05 | 97.3 | |
| GAT2026.03 | 97.3 | |
| GAT2024.08 | 97.3 | |
| GaAN-meanTraining Data=X, A, Y2020.06 | 96.9 | |
| GraphSAINT2026.03 | 90.38 | |
| DiGGR2024.08 | 78.3 | |
| GB-CGNNcoarse-grained initialization=false2026.03 | 76.12 | |
| GCNLearning paradigm=Supervised2022.05 | 75.7 | |
| GCN2024.08 | 75.7 | |
| GraphMAELearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 74.5 | |
| GraphMAE2024.08 | 74.5 | |
| BGRLLearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 73.63 | |
| BGRL2024.08 | 73.63 | |
| CCA-SSGLearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 73.34 | |
| CCA-SSG2024.08 | 73.34 | |
| GRACELearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 69.71 | |
| GRACE2024.08 | 69.71 | |
| GRACETraining Data=X, A2020.06 | 66.2 | |
| GIC2018.11 | 66.1 | |
| DGITraining Data=X, A2020.06 | 63.8 | |
| DGILearning paradigm=Self-supervised, Evaluation protocol=Linear evaluation2022.05 | 63.8 | |
| DGI2024.08 | 63.8 | |
| GraphSAGE-LSTMLearning Setting=Inductive2018.08 | 61.2 | |
| GRAPHSAGE-LSTMaggregator=LSTM2018.11 | 61.2 | |
| GraphSAGE-poolLearning Setting=Inductive2018.08 | 60 | |
| GraphSAGE-meanLearning Setting=Inductive2018.08 | 59.8 | |
| GRAPHSAGE-MEANaggregator=mean2018.11 | 59.8 | |
| GraphSAGE2026.03 | 57.61 | |
| GraphSAGE-poolTraining Data=X, A2020.06 | 50.2 | |
| GraphSAGE-GCNLearning Setting=Inductive2018.08 | 50 | |
| GRAPHSAGE-GCNaggregator=GCN2018.11 | 50 | |
| GraphSAGE-meanTraining Data=X, A2020.06 | 48.6 | |
| GraphSAGE-LSTMTraining Data=X, A2020.06 | 48.2 | |
| GraphSAGE-GCNTraining Data=X, A2020.06 | 46.5 | |
| AS-GCN2026.03 | 46.23 | |
| GCN2026.03 | 46.08 | |
| FastGCN2026.03 | 46.08 | |
| RAW FEATURES2018.11 | 42.2 | |
| Raw featuresTraining Data=X2020.06 | 42.2 | |
| RANDOM2018.11 | 39.6 |