-
Notifications
You must be signed in to change notification settings - Fork 223
New issue
Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? # to your account
result of paper #8
Comments
I'm also very curious. I try to run the code and to adjust the hyper-parameters, but I cannot got expected results. |
Hey, @LYF14020510036 and @veophi have you solved the problem. |
Thank you for your interest! To get the results in the paper, you will need to consider tuning hyper-parameters mentioned in the paper (including using --degree_as_tag for COLLAB, IMDB). Also, in our paper, we did not use validation set (as the dataset sizes are extremely small). Instead, we first took average of validation curves across 10 folds, and then selected a single epoch that achieved the maximum averaged validation accuracy. Besides, I strongly recommend using graph deep learning libraries that have been recently developed, such as Pytorch Geometric (https://pytorch-geometric.readthedocs.io/en/latest/) and DGL (https://www.dgl.ai/). They provide faster implementation of our GIN algorithm, and are very easy to use. |
I am a beginner. I want to ask you how you got the result of your paper.The results of each validation are the max, and then the max in 10?
The text was updated successfully, but these errors were encountered: