Closed kkhuang1997 closed 1 year ago
thanks for your interest! Maybe you could try other neural architectures to get a more powerful representation, e.g., 1D-CNN or transformer for 1D SMILES string and graph neural network for drug molecular graph.
closing for now, feel free to reopen if question remains!
Describe your question.
Hi, with the purpose to reproduce results of drug synergy prediction task, i.e., https://github.com/mims-harvard/TDC/tree/main/examples/multi_pred/drugcombo, i run through the example code. However, the results look bad in terms of unchanged loss and validation MAE.
(just show the first two rounds)
I noticed that another similar issue was proposed, https://github.com/mims-harvard/TDC/issues/169, and suspected bad performance of MLP on this task.
Any advice on how to choose a proper model to deal with this task?
Many thanks!