longkun

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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

@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.