This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional neural network (CNN) for proteins.
I'm referring to your paper. I followed the setting mentioned in your paper " We randomly divided 102 DUD-E targets into 72 targets as a training dataset and 30 targets as a test dataset" to process DUD-E dataset, but I couldn't get the results as your paper. I want to know what I can do to get the best results, if I need to change the hyper-parameters?
I hope to your reply, thank you!
I'm referring to your paper. I followed the setting mentioned in your paper " We randomly divided 102 DUD-E targets into 72 targets as a training dataset and 30 targets as a test dataset" to process DUD-E dataset, but I couldn't get the results as your paper. I want to know what I can do to get the best results, if I need to change the hyper-parameters? I hope to your reply, thank you!