Research Article
Relationship Discovery and Hierarchical Embedding for Web Service Quality Prediction
Table 2
Overall performance comparison of RT on average.
| Method | MAE/matrix density | RMSE/matrix density | 0.10 | 0.15 | 0.20 | 0.25 | 0.30 | Average | 0.10 | 0.15 | 0.20 | 0.25 | 0.30 | Average |
| LDA | 0.49 | 0.46 | 0.45 | 0.43 | 0.42 | 0.4500 | 1.48 | 1.45 | 1.44 | 1.43 | 1.41 | 1.4420 | Node2vec | 0.44 | 0.43 | 0.41 | 0.40 | 0.39 | 0.4140 | 1.43 | 1.41 | 1.4 | 1.38 | 1.37 | 1.3980 | GCN | 0.45 | 0.43 | 0.43 | 0.42 | 0.41 | 0.4280 | 1.47 | 1.45 | 1.43 | 1.41 | 1.39 | 1.4300 | Wide & deep | 0.42 | 0.41 | 0.39 | 0.38 | 0.37 | 0.3975 | 1.39 | 1.36 | 1.32 | 1.30 | 1.28 | 1.3300 | GraphSAGE | 0.41 | 0.4 | 0.38 | 0.37 | 0.36 | 0.3840 | 1.38 | 1.37 | 1.35 | 1.34 | 1.32 | 1.3520 | NGCF | 0.4 | 0.38 | 0.37 | 0.38 | 0.36 | 0.3780 | 1.37 | 1.36 | 1.35 | 1.34 | 1.33 | 1.3500 | PinSage | 0.4 | 0.38 | 0.36 | 0.36 | 0.35 | 0.3700 | 1.35 | 1.34 | 1.32 | 1.31 | 1.30 | 1.3240 | KGAT | 0.39 | 0.38 | 0.37 | 0.36 | 0.35 | 0.3700 | 1.31 | 1.29 | 1.27 | 1.26 | 1.25 | 1.2760 | GraphRec | 0.38 | 0.36 | 0.35 | 0.35 | 0.34 | 0.3560 | 1.3 | 1.27 | 1.25 | 1.23 | 1.22 | 1.2540 | NIA-GCN | 0.39 | 0.36 | 0.34 | 0.33 | 0.32 | 0.3480 | 1.29 | 1.26 | 1.23 | 1.22 | 1.21 | 1.2420 | RDHE | 0.37 | 0.35 | 0.34 | 0.32 | 0.3 | 0.3360 | 1.24 | 1.22 | 1.21 | 1.20 | 1.20 | 1.2140 |
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