-
Notifications
You must be signed in to change notification settings - Fork 52
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
Code of KBlrn #4
Comments
Hi Daria, The code is currently not open-sourced but we can share the code under a non-commercial licence agreement. If this is something that interests you, please send us an email. |
Hi Matthias, Many thanks for your reply. I have sent an email to mathias.niepert@neclab.eu. Kindest regards, |
Can I have the source code too for non commercial use? I am student at university with official email address. |
Dear Alberto and Mathias, If it possible, I would like to have the source code too. I am university student and this will be very helpful for my course work. Thank you in advance! |
Hello Alberto, and Mathias! I'm Daniel Ayala, a researcher at the University of Seville. We are currently exploring and comparing embedding techniques that use information from attributes. Would it be possible to get the code under a non-commercial license? If it is indeed possible, my email is dayala1@us.es Thanks in advance. |
Dear Alberto and Mathias, If it possible, I would like to have the source code. I am university student and this will be very helpful for my course work. My email is shuangliang@std.uestc.edu.cn Thank you in advance! |
Hello Mathias and Alberto!
|
Hello Mathias and Alberto! My email is l1426810315@gmail.com |
Dear Mathias and Alberto, |
Dear Alberto and Mathias, |
Dear Alberto and Mathias,
Is it possible for you to share the code of the paper [1]?
It seems that the current repository only stores the numerical KGs but not the code of embeddings?
Many thanks and best regards,
Daria
[1] Alberto García-Durán, Mathias Niepert: KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. UAI 2018: 372-381
The text was updated successfully, but these errors were encountered: