Comments (4)
I think it is the number of polypharmacy side effects (or type of edges in drug-drug network). In the paper, they say there have focused on predicting the 964 polypharmacy side effects that each occurred in at least 500 drug combinations.
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I think so too, wanted to confirm. Thank you for the answer
from decagon.
Do you know how to run the code with the original dataset?
from decagon.
No problem!
Not yet. I am working on it. I think we just need to create adjacency matrices for the protein-protein network as well as protein-drug network and create a list of adjacency matrices for each edge type in drug-drug network.
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Related Issues (16)
- Trained model release?
- ERROR: Could not find a version that satisfies the requirement futures==3.2.0 HOT 1
- AttributeError: module 'tensorflow' has no attribute 'app' HOT 4
- futures==3.1.1 instead of futures==3.2.0
- has this repo have any supports?
- How to apply the real datasets HOT 1
- Does Decagon regard the relation and its corresponding reverse one as different relations? HOT 2
- Can you supply the instructions about how to use real-world data to train model HOT 18
- Confusion about weights update
- when i am running this code on Collab it is showing me this error message. Can anyone tell me please how to fix it.
- Please provide instructions on how to use the data set with the code. HOT 3
- Unsupported feed type HOT 2
- A question about the 'adj_mats_orig' HOT 3
- variables' means
- data leakage problem in your model HOT 1
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