Node Classification on Reddit (mean Accuracy, Weighted-F1)
0.7173Mean AccuracyCLDG++
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CLDG++Input=X, A, S, T, Training Paradigm=Unsupervised2026.05 | 0.7173 | 0.6256 | |
| CLDGInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 0.7169 | 0.6287 | |
| GraphSAGEInput=X, A, Y, Training Paradigm=Supervised2026.05 | 0.7137 | 0.6574 | |
| MNCIInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 0.7094 | 0.6526 | |
| DGIInput=X, A, Training Paradigm=Unsupervised2026.05 | 0.7058 | 0.6095 | |
| CCA-SSGInput=X, A, Training Paradigm=Unsupervised2026.05 | 0.6946 | 0.5869 | |
| GATInput=X, A, Y, Training Paradigm=Supervised2026.05 | 0.6931 | 0.5801 | |
| GCNInput=X, A, Y, Training Paradigm=Supervised2026.05 | 0.6783 | 0.6326 | |
| CAWInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 0.6779 | 0.578 | |
| LPInput=A, Y, Training Paradigm=Supervised2026.05 | 0.6671 | 0.6088 | |
| TGATInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 0.6557 | 0.5681 |