> It is a very nice work and inspires me a lot. How do you evaluate the predictions generated from LLM? The paper claims that evaluating with Acc and F1. However it can be hard to evaluate the text sometimes. about graphgpt HOT 6 CLOSED

Hi, I'm also interested in this work and was wondering if the evaluation code you mentioned is updated? Can you clarify which part exactly?

from graphgpt.

Hi, I'm also interested in this work and was wondering if the evaluation code you mentioned is updated? Can you clarify which part exactly?

Thanks for your interests! An example is in https://github.com/HKUDS/GraphGPT/blob/main/scripts/eval_script/cal_metric_arxiv.py

from graphgpt.

Hi, I'm also interested in this work and was wondering if the evaluation code you mentioned is updated? Can you clarify which part exactly?

Thanks for your interests! An example is in https://github.com/HKUDS/GraphGPT/blob/main/scripts/eval_script/cal_metric_arxiv.py

Thank you for your reply, as I am not very familiar with this dataset, I would like to ask where to get the label information, i.e. where can I get the labelidx2arxivcategeory.csv in the code?

from graphgpt.

Hi, I'm also interested in this work and was wondering if the evaluation code you mentioned is updated? Can you clarify which part exactly?

Thanks for your interests! An example is in https://github.com/HKUDS/GraphGPT/blob/main/scripts/eval_script/cal_metric_arxiv.py

Thank you for your reply, as I am not very familiar with this dataset, I would like to ask where to get the label information, i.e. where can I get the labelidx2arxivcategeory.csv in the code?

You could refer to https://github.com/mims-harvard/GNNGuard/tree/master/Datasets/ogbn_arxiv/mapping .

from graphgpt.

Hi, I'm also interested in this work and was wondering if the evaluation code you mentioned is updated? Can you clarify which part exactly?

Thanks for your interests! An example is in https://github.com/HKUDS/GraphGPT/blob/main/scripts/eval_script/cal_metric_arxiv.py

Thank you for your reply, as I am not very familiar with this dataset, I would like to ask where to get the label information, i.e. where can I get the labelidx2arxivcategeory.csv in the code?

You could refer to https://github.com/mims-harvard/GNNGuard/tree/master/Datasets/ogbn_arxiv/mapping .

Thanks for your reply, I will download the label data and test it.

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it

You are welcome!🤗

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