表 3. Performance of different graph embedding methods on the test set (%).
不同图嵌入方法在测试集上的性能(%)
| 模型 | ACC↑ | PR↑ | REC↑ | F1↑ | MCC↑ | AUROC↑ |
| 注:加粗数字表示最优结果;↑表示该指标越大越好 | ||||||
| DeepWalk + TopN | 79.44 | 79.12 | 80.00 | 79.55 | 58.89 | 86.26 |
| Node2vec + TopN | 79.22 | 80.77 | 77.24 | 78.76 | 58.78 | 86.38 |
| DeepWalk + Doc2vec | 80.99 | 81.18 | 80.79 | 80.96 | 62.03 | 88.42 |
| Node2vec + Doc2vec | 83.51 | 82.83 | 84.57 | 83.68 | 67.05 | 90.84 |