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Hi, I encountered a problem when reproducing the graph classification experiment. Except for the NCI1 data set, all other graph data sets can achieve the results in your paper, but the classification accuracy on the NCI1 data set can only reach about 68%, whether using the dgl or pyg framework. I used the hyperparameters you provided, and the experimental environment was basically the same as yours.
The text was updated successfully, but these errors were encountered:
Hi, I encountered a problem when reproducing the graph classification experiment. Except for the NCI1 data set, all other graph data sets can achieve the results in your paper, but the classification accuracy on the NCI1 data set can only reach about 68%, whether using the dgl or pyg framework. I used the hyperparameters you provided, and the experimental environment was basically the same as yours.
The text was updated successfully, but these errors were encountered: