longkun
longkun
Thanks for your reply! It seems that h_i_s and h_i_t just mean SA node features, and they are obtained by concatenating all node features together since it can be seen...
I have met the same issue. pytorch 1.9.1 cuda 11.1
Hi, I met the same problem with you,have you resolved it?
@TinyGrass I have resolved it .The reason for this problem is that the file MT-LSTM.path is empty, you need to download this file again. You can excute the command line...
Hi,I encountered the same problem, did you solve this problem? @zaid478
When training, please turn on the argument"--warm" or set a larger learning rate(--learning_rate 0.5), it seems to solve this problem, at least it works for me
You seem to be talking about self-supervised contrastive learning, right? Just like SimCLR
Hi, I have uploaded some run.log files, hope this helps.
Hi, before starting training, you need to run the *.py files under the data file for data processing.
@KouGZ The ".DS_Store" files in the dataset are leftover from the macOS system, you need to clear these files.