Table 5.
Accuracy of semi-supervised node classification on Pubmed.
| Method | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
|---|---|---|---|---|---|---|---|---|---|
| GCN | 0.871 | 0.838 | 0.838 | 0.806 | 0.806 | 0.774 | 0.774 | 0.741 | 0.741 |
| αLoNGAE | 0.807 | 0.803 | 0.800 | 0.797 | 0.796 | 0.793 | 0.790 | 0.787 | 0.786 |
| GAT | 0.794 | 0.792 | 0.790 | 0.788 | 0.786 | 0.784 | 0.782 | 0.780 | 0.788 |
| MT-GAT (ours) | 0.854 | 0.847 | 0.843 | 0.836 | 0.831 | 0.824 | 0.822 | 0.816 | 0.806 |
The best results are shown in bold, and our MT-GAT with significant improvements over the baselines is shown with underlines.