Comments (4)
Hi guys,
I have tried running the code, but found it hard to reproduce the paper results. Some test results reported on QM9 are as follows:
Any suggestions for this?
BTW, there are some minor bugs for training Geom Drug. Hope you can fix them in the future.
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Hi,
Sorry for the late response. I have updated the test_eval.py script, which has some little errors.
You could run the command python test_eval.py --ckpt --sampling_type generalized --w_global_pos 1 -- w_global_node 1 --w_local_pos 4 --w_local_node 5. Then you could overserve good performance of MDM.
Regarding the checkpoint, I will upload it later.
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Got it!
Kind reminders about Geom Drug Training:
from mdm.
Got it! Kindly reminders about Geom Drug Training:
Thanks for your advice, they are very helpful. Actually, we did not utilize the validation dataset in the Geom-drugs dataset. You could split it by yourself.
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Related Issues (7)
- AttributeError HOT 1
- error when running 'test_eval.py' HOT 3
- Missing commands for conditional generation tasks HOT 2
- Training Time HOT 1
- Code for evaluating conditional generation on QM9 HOT 1
- Code Error HOT 10
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