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Unable to reproduce performance #14

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Shania99 opened this issue Jun 5, 2024 · 1 comment
Open

Unable to reproduce performance #14

Shania99 opened this issue Jun 5, 2024 · 1 comment

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@Shania99
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Shania99 commented Jun 5, 2024

Hello,

I am currently trying to replicate the performance metrics published in your paper. I used the test.py script with the provided model_bpCL.pt weights on the test_graph.pt data. However, I encountered a significant discrepancy in the Fmax value; I obtained an Fmax of 0.379, which is quite different from the expected 0.595 as reported.

I have set up the environment exactly as specified in the environment.yml and followed the other setup instructions as given.

I have attached a screenshot of the test results for your reference. Could you please help me understand what might be causing this issue? Is there any step or configuration that I might be missing?

Screenshot 2024-06-05 at 1 01 11 PM
@ZhonghuiGu
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I'm sorry that the Fmax and AUPR provided by the test script confuse you. The standard evaluation script is "evaluation_matrics.py", which consider all the accept threshold (probability between 0.01-0.99), as well as the ancestor function filling.

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