Node Classification on DBLP (mean Accuracy, Weighted-F1)
72.94Mean AccuracyCLDG++
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CLDG++Input=X, A, S, T, Training Paradigm=Unsupervised2026.05 | 72.94 | 72.69 | |
| GraphSAGEInput=X, A, Y, Training Paradigm=Supervised2026.05 | 72.36 | 71.99 | |
| CLDGInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 71.8 | 71.55 | |
| GCNInput=X, A, Y, Training Paradigm=Supervised2026.05 | 71.35 | 71.08 | |
| MVGRLInput=X, A, S, Training Paradigm=Unsupervised2026.05 | 71.32 | 70.91 | |
| GRACEInput=X, A, Training Paradigm=Unsupervised2026.05 | 71.27 | 70.71 | |
| GATInput=X, A, Y, Training Paradigm=Supervised2026.05 | 70.01 | 69.21 | |
| DGIInput=X, A, Training Paradigm=Unsupervised2026.05 | 69.97 | 69.4 | |
| CCA-SSGInput=X, A, Training Paradigm=Unsupervised2026.05 | 68.28 | 67.6 | |
| MNCIInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 67.03 | 66.46 | |
| TGATInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 57.48 | 51.96 | |
| CAWInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 55.64 | 51.38 | |
| DySATInput=X, A, T, Training Paradigm=Unsupervised2026.05 | 54.12 | 52.48 | |
| LPInput=A, Y, Training Paradigm=Supervised2026.05 | 52.18 | 51.54 |