About “Test Error” problem

[Sangs3112]

Hi, I found that the error in SimGNN's paper is 0.001, but the error in your implementation results is 0.02, there is a ten-fold gap in the middle. I don't know why,I hope someone can give me an answer, thank you very much.

[zcyyyy24]

Yeah! I also found the difference between them. Then I want to use more data to train the model, but it seems useless.
And I also want to know how to get the similarity about the test graph, if there is only node and edge.

[Sangs3112]

@zcyyyy24 I later found out this code may have some problem in settings and there is no one to maintain it anymore. Not only that, but I also found that the code in the other repositories was not set up according to the SimGNN paper. Then implemented a pytorch version of the code myself using SimGNN's official paper Settings, all using the paper Settings, including learning rate, batch_size, normalization method, four-layer MLP, GCNs_dim and so on. Finally, the mse of AIDS700nef dataset reaches about 0.0019, which is close to that of the paper. If you need this code, you can contact me and I can open source it on my github.

[zcyyyy24]

Oh, Thanks a lot! Could you send me the GitHub website? And I also want to know the 0.0019 was test error or not? If I want to calculate my graphs’ similarity, how to do it?

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---- Replied Message ---- | From | ***@***.***> | | Date | 01/09/2024 14:51 | | To | benedekrozemberczki/SimGNN ***@***.***> | | Cc | zcyyyy24 ***@***.***>, Mention ***@***.***> | | Subject | Re: [benedekrozemberczki/SimGNN] About “Test Error” problem (Issue #50) | @zcyyyy24 I later found out this code may have some problem in settings and there is no one to maintain it anymore. Not only that, but I also found that the code in the other repositories was not set up according to the SimGNN paper. Then implemented a pytorch version of the code myself using SimGNN's official paper Settings, all using the paper Settings, including learning rate, batch_size, normalization method, four-layer MLP, GCNs_dim and so on. Finally, the mse of AIDS700nef dataset reaches about 0.0019, which is close to that of the paper. If you need this code, you can contact me and I can open source it on my github. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you were mentioned.Message ID: ***@***.***>

[zcyyyy24]

@zcyyyy24 I later found out this code may have some problem in settings and there is no one to maintain it anymore. Not only that, but I also found that the code in the other repositories was not set up according to the SimGNN paper. Then implemented a pytorch version of the code myself using SimGNN's official paper Settings, all using the paper Settings, including learning rate, batch_size, normalization method, four-layer MLP, GCNs_dim and so on. Finally, the mse of AIDS700nef dataset reaches about 0.0019, which is close to that of the paper. If you need this code, you can contact me and I can open source it on my github.

同学你好我们可以加个微信吗？GitHub上消息通知不太方便