Kexin Huang

You can simply use the model.save('XXX') function and then send me the model file; i will upload to the server and update the link, thanks again!

Sounds good, do you want to contribute and train a new model for it?

Sounds good, it should be the one in the https://github.com/kexinhuang12345/DeepPurpose/blob/master/DEMO/Transformer%2BCNN_BindingDB.ipynb simply replacing the model and parameter should be good

Check this function https://github.com/tkipf/pygcn/blob/1600b5b748b3976413d1e307540ccc62605b4d6d/pygcn/utils.py#L15 cora.cites is the edge and cora.content is the node index, feature and labels

That's a great point! Will be working on it! Let us know if you would like to make a PR for it, thanks!!

Great point, will update the try-exception scheme

Thank you for the great suggestion, David! We will work on it!

Thank you! It would be a great idea! Would you like to make a PR for it?

Thank you! Is the gene expression values available only in CallMiner? I saw in the paper they can retrieve them through public databases such as DepMap, Cell Model Passports, etc....

Thanks for the issue! This sounds interesting. Would it make sense to add this as an additional dataset for the drug response prediction task? https://tdcommons.ai/multi_pred_tasks/drugres/ Or are you thinking more...