TABLE 2.
Overall Performance with respect to RMSE, MAE, MAPE and MSLE. (The smaller value is, the better performance is).
| RMSE | Outperform | MAE | Outperform | MAPE | Outperform | MSLE | Outperform | |
| AutoFTP | 18.646 | — | 16.192 | — | 58.851 | — | 0.2267 | — |
| AttentionWalk | 21.418 | +14.9% | 19.712 | +21.7% | 68.590 | +16.6% | 0.2907 | +28.2% |
| ProNE | 21.830 | +17.1% | 19.929 | +23.1% | 69.188 | +17.6% | 0.2949 | +30.1% |
| GatNE | 21.229 | +13.9% | 19.288 | +19.1% | 67.043 | +13.9% | 0.2854 | +25.9% |
| GAE | 21.338 | +14.4% | 19.676 | +21.5% | 68.579 | +16.5% | 0.2894 | +27.6% |
| DeepWalk | 23.561 | +26.4% | 21.987 | +35.8% | 76.038 | +29.2% | 0.3321 | +46.5% |
| Node2Vec | 22.688 | +21.7% | 21.084 | +30.2% | 73.135 | +24.3% | 0.3152 | +39.0% |
| Struc2Vec | 21.589 | +15.8% | 19.937 | +23.1% | 69.423 | +17.9% | 0.2942 | +29.7% |
| AutoFTP R | 21.965 | +17.8% | 20.283 | +25.3% | 70.991 | +20.6% | 0.2928 | +29.1% |
| AutoFTP(R+P) | 20.509 | +9.99% | 18.921 | +16.8% | 66.477 | +12.9% | 0.2681 | +18.3% |
| AutoFTP(R+C) | 21.014 | +12.7% | 19.413 | +19.8% | 67.920 | +15.4% | 0.2773 | +22.3% |
| AutoFTP(R+P+C) | 20.211 | +8.39% | 18.676 | +15.3% | 65.685 | +11.6% | 0.2636 | +16.3% |