You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
However, I do wonder how we can apply this technique to our own custom dataset, as I don't really see much comprehensive documentation on generalisability. I noted that your utility functions are mostly written with respect to the pre-specified dataset. Was kindly wondering if I could get some help with using this with custom datasets, thanks!
The text was updated successfully, but these errors were encountered:
You can write the custom dataloader to make sure the inputs are the same as those of data_load.py. If any problems occur or that there are some confusing part about the code, just directly contact me.
Great job, and the code is very easy to understand. However, I noticed that you only used a subset of the Twitter dataset (a subgraph of it), could you please provide the Sub_Twitter dataset that has been processed, since I don't know which part of the dataset you specifically collected and therefore cannot reproduce your results.
First of all, great paper; I enjoyed reading it!
However, I do wonder how we can apply this technique to our own custom dataset, as I don't really see much comprehensive documentation on generalisability. I noted that your utility functions are mostly written with respect to the pre-specified dataset. Was kindly wondering if I could get some help with using this with custom datasets, thanks!
The text was updated successfully, but these errors were encountered: