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摘要
请提供需要翻译的英文内容。
代码仓库
yuziGuo/FarOptBasis
官方
pytorch
GitHub 中提及
基准测试
| 基准 | 方法 | 指标 |
|---|---|---|
| node-classification-on-film-60-20-20-random | OptBasisGNN | 1:1 Accuracy: 42.39 ± 0.52 |
| node-classification-on-film-60-20-20-random | FavardGNN | 1:1 Accuracy: 43.05 ± 0.53 |
| node-classification-on-non-homophilic-14 | OptBasisGNN | 1:1 Accuracy: 90.83±0.11 |
| node-classification-on-pokec | OptBasisGNN | Accuracy: 82.83±0.04 |