Closed yuwang-langrui closed 3 weeks ago
Hello,
We train two GCNs separately; the architecture and training data are identical for both cases. Simply train the same architecture twice with the same data, and you will obtain two sets of slightly different parameters.
I hope this helps. Please feel free to reach out with any additional questions.
Best, Gregory
Hello Gregory, First of all, thank you very much for sharing this amazing work. I have a question while trying to run your code. Your paper mentions that you trained two GCN networks, and I also noticed that the prediction examples show the use of parameters from two GCNs. However, I am not sure how to train two different GCNs. Should I train the dataset twice? Or have I misunderstood something? I hope to get your response.
Regards,