search

chenxiaowei-vincent / XGraphBoost

56 stars 15 forks source link

result #2

Open lqli-100 opened 3 years ago

lqli-100 commented 3 years ago

Hello, Recently I read your work and found that the following command python xgb_ggnn.py folder benchmark_molnet/molnet_random_bbbp_c --type classification output only GGNN+rf and svm and knn, if I want to get GGNN+xgb results, how should I do it, I hope you can help me, thanks.

chenxiaowei-vincent commented 3 years ago

Hello,you can try to by modifying xgb_ggnn.py code, will be the last item "if name = =" main ":" on the content of the #, in front of "the if name = =" main ":" remove #, You can run the GGNN + XGB program.

陈晓炜

@. | 签名由网易邮箱大师定制 On 9/7/2021 @.> wrote：

Hello, Recently I read your work and found that the following command python xgb_ggnn.py folder benchmark_molnet/molnet_random_bbbp_c --type classification output only GGNN+rf and svm and knn, if I want to get GGNN+xgb results, how should I do it, I hope you can help me, thanks.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.