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I have been trying to reproduce the results of the recommendation task on the H&M dataset as outlined in the associated paper, but so far, I have been getting significantly lower scores than reported. I have followed the instructions and steps provided in the documentation and paper, using the specified hyperparameters and dataset.
Despite following these steps, the scores I’m getting are consistently lower than the ones reported in the paper. I suspect that there might be additional details or steps not mentioned explicitly in the paper that could be affecting the results.
The text was updated successfully, but these errors were encountered:
I have been trying to reproduce the results of the recommendation task on the H&M dataset as outlined in the associated paper, but so far, I have been getting significantly lower scores than reported. I have followed the instructions and steps provided in the documentation and paper, using the specified hyperparameters and dataset.
Steps Taken:
git clone https://github.com/snap-stanford/relbench
cd relbench/examples
python idgnn_link.py --dataset rel-hm --task user-item-purchase
Despite following these steps, the scores I’m getting are consistently lower than the ones reported in the paper. I suspect that there might be additional details or steps not mentioned explicitly in the paper that could be affecting the results.
The text was updated successfully, but these errors were encountered: