Node classification on TAX51
41.05Mean AccuracyCLDG++
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CLDG++Input=X, A, S, T, Training Paradigm=Unsupervised2026.05 | 41.05 | 33.15 | |
| GraphSAGEInput=X, A, Y, Training Paradigm=Supervised2026.05 | 40.8 | 33.79 | |
| CLDGInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 40.44 | 32.36 | |
| GCNInput=X, A, Y, Training Paradigm=Supervised2026.05 | 40.42 | 33.64 | |
| DGIInput=X, A, Training Paradigm=Unsupervised2026.05 | 39.2 | 31.61 | |
| MNCIInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 39.13 | 32.29 | |
| GATInput=X, A, Y, Training Paradigm=Supervised2026.05 | 38.82 | 30.21 | |
| CCA-SSGInput=X, A, Training Paradigm=Unsupervised2026.05 | 37.04 | 29.69 | |
| CAWInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 36.52 | 29.52 | |
| TGATInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 34.5 | 28.44 | |
| LPInput=A, Y, Training Paradigm=Supervised2026.05 | 28.82 | 24.36 | |
| DySATInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 23.81 | 22.89 |