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提交 75cf7135 编写于 作者: D DesmonDay
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examples/SAGPool/README.md
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...@@ -44,10 +44,10 @@ python main.py --dataset_name FRANKENSTEIN --learning_rate 0.001 --weight_decay ...@@ -44,10 +44,10 @@ python main.py --dataset_name FRANKENSTEIN --learning_rate 0.001 --weight_decay
We evaluate the implemented method for 20 random seeds using 10-fold cross validation, following the same training procedures as in the paper. We evaluate the implemented method for 20 random seeds using 10-fold cross validation, following the same training procedures as in the paper.
| dataset | mean accuracy | standard deviation | | dataset | mean accuracy | standard deviation | mean accuracy(paper) | standard deviation(paper) |
| ------------ | ------------- | ------------------ | | ------------ | ------------- | ------------------ | -------------------- | ------------------------- |
| DD | 74.4181 | 1.0244 | | DD | 74.4181 | 1.0244 | 76.19 | 0.94 |
| PROTEINS | 72.7858 | 0.6617 | | PROTEINS | 72.7858 | 0.6617 | 70.04 | 1.47 |
| NCI1 | 75.781 | 1.2125 | | NCI1 | 75.781 | 1.2125 | 74.18 | 1.2 |
| NCI109 | 74.3156 | 1.3 | | NCI109 | 74.3156 | 1.3 | 74.06 | 0.78 |
| FRANKENSTEIN | 60.7826 | 0.629 | | FRANKENSTEIN | 60.7826 | 0.629 | 62.57 | 0.6 |
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