You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks for the great work! I have a minor question as the title shows. You say: We do not evaluate transfer learning setting in this paper where a pretrained model is applied to another dataset. The transfer learning setting could be more challenging and practical. Following Hu et. al, you can pretrain on the unlabeled ZINC15 database, and then evaluated on these downstream tasks. Could it be possible to perform this setting for MoCL-DK? Thanks!
Reference:
[1] Strategies to pre-train graph neural networks. Hu et al. 2020.
The text was updated successfully, but these errors were encountered:
Hi @mengyings,
Thanks for the great work! I have a minor question as the title shows. You say:
We do not evaluate transfer learning setting in this paper where a pretrained model is applied to another dataset
. The transfer learning setting could be more challenging and practical. Following Hu et. al, you can pretrain on the unlabeledZINC15
database, and then evaluated on thesedownstream tasks
. Could it be possible to perform this setting for MoCL-DK? Thanks!Reference:
[1] Strategies to pre-train graph neural networks. Hu et al. 2020.
The text was updated successfully, but these errors were encountered: