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A data preprocessing problem #1

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@3vi16enius

Hello! I recently read your paper on RGNN model and am very interested in it. But I had some trouble reproducing your paper.
When I run python train.py directly, I can get results similar to that in the paper.But, when running data_process.py, an error occurs, and the error information is as follows:
image
I tried to fix this error by modifying lines 95-96 from:
unique_users = users_count.index
unique_items = items_count.index
to:
unique_users = users_count['users_id']
unique_items = items_count['items_id']
However, the result of this is that the accuracy rate is reduced to 0.8106 without any change in the parameters. Here are the results of the run:
image
Please tell me how to divide the data set correctly to reproduce the experimental results? thank you!

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