where is the part of utilizing skip-gram idea to learn cell representation?

[V-Enzo]

Hello, boathit. I am new to Julia and trajectory representation learning.
Firstly, After reading the paper, I think the first part is to transform trajectories into cells and learn a cell representation by utilizing the idea of skip-gram, but I couldn't find it in your source code. Is it finished in julia codes or elsewhere?
Second，Since the Julia 0.6.4 is not maintained any more, I wish you could update your code to latest version for us to learn. Thank you！

[boathit]

Hi @V-Enzo, actually I do not include the skip-gram part in this repository. Please see this thread. I will manage to update the code.

[V-Enzo]

Thank you for your timely reply and looking forward to your update

[boathit]

The code has been updated to Julia 1.0+ and PyTorch 1.0+.