add paper results
@@ -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.
-| dataset | mean accuracy | standard deviation |
-| ------------ | ------------- | ------------------ |
-| DD | 74.4181 | 1.0244 |
-| PROTEINS | 72.7858 | 0.6617 |
-| NCI1 | 75.781 | 1.2125 |
-| NCI109 | 74.3156 | 1.3 |
-| FRANKENSTEIN | 60.7826 | 0.629 |
+| dataset | mean accuracy | standard deviation | mean accuracy(paper) | standard deviation(paper) |
+| ------------ | ------------- | ------------------ | -------------------- | ------------------------- |
+| DD | 74.4181 | 1.0244 | 76.19 | 0.94 |
+| PROTEINS | 72.7858 | 0.6617 | 70.04 | 1.47 |
+| NCI1 | 75.781 | 1.2125 | 74.18 | 1.2 |
+| NCI109 | 74.3156 | 1.3 | 74.06 | 0.78 |
+| FRANKENSTEIN | 60.7826 | 0.629 | 62.57 | 0.6 |
