-
Notifications
You must be signed in to change notification settings - Fork 11
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Input features for baselines #4
Comments
他给的数据集不是user,user_click这几种格式吗,怎么转为npy格式的,是我错过了哪里吗 |
论文里有详细的处理说明,可以据此复现。 |
好的,谢谢,我在好好看看,非常感谢
…------------------ 原始邮件 ------------------
发件人: "Fei Wang"<notifications@github.com>;
发送时间: 2020年6月3日(星期三) 中午12:37
收件人: "TachiChan/IJCAI2019_HGAT"<IJCAI2019_HGAT@noreply.github.com>;
抄送: "普通"<2371750994@qq.com>;"Comment"<comment@noreply.github.com>;
主题: Re: [TachiChan/IJCAI2019_HGAT] Input features for baselines (#4)
他给的数据集不是user,user_click这几种格式吗,怎么转为npy格式的,是我错过了哪里吗
论文里有详细的处理说明,可以据此复现。
—
You are receiving this because you commented.
Reply to this email directly, view it on GitHub, or unsubscribe.
|
@FeiWang96 你好,能提供一下你的复现代码参考一下吗,麻烦了 |
你好,可以提供数据处理的方法吗,谢谢! |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Interesting task!
However, the results of baselines are confusing. SVM, LR, GCN and GAT only achieve accuracies around 0.5 for the binary classification (gender classification) task in your paper.
Could you please show the detail of baselines?
The text was updated successfully, but these errors were encountered: