Closed OrdinaryCrazy closed 3 years ago
Hi @OrdinaryCrazy,
Thanks for your interest in our work. (1) Did you perform hyper-parameter tuning as suggested? If not, this might help (see the instruction following from README). (2) Did you try other datasets and compare the performance?
lr
in pre-training should be tuned from {0.01, 0.001, 0.0001} and model_epoch
in finetuning (this means the epoch checkpoint loaded from pre-trained model) from {20, 40, 60, 80, 100}.
Thank you, tuning pretraining lr
to 0.01 makes the PROTEINS's mean accuracy result come close to 0.74, although there are a lot variance among pretrained models.
Hi @OrdinaryCrazy @yyou1996 ,
Could you pls tell me how to run the semi-supervised setting with label rate = 10%
, i.e., how to tune the label rate? Thanks!
Hi @ha-lins,
Please see the instruction here https://github.com/Shen-Lab/GraphCL/tree/master/semisupervised_TU#graphcl-with-sampled-augmentations. Just set the flag --semi_split as 10 when finetuning.
I follow the instructions in readme, but I can not achieve 0.7417 accuracy in paper on PROTEINS dataset, I only get about 0.73