Comments (3)
Besides, it lacks the used drugbank dataset, could you upload this dataset or give a download link?
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here is the dataset: https://drive.google.com/file/d/1drgMxl3BakcSpUQuyN-KmUdxiUuWFeJ7/view?usp=sharing
from caster.
Thanks! Besides, I want to compare the baseline fairly, so I would ask for some details.
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Whether this Drugbank dataset splits like the BIOSNAP (train 7: valid 1: test 2).
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And whether the shuffled seed is 1 in this Drugbank dataset
in your code "dde_torch.py" for BIOSNAP:
torch.manual_seed(1) # reproducible np.random.seed(1)
So maybe I can write the following code to split the dataset?
from random import Random
Random(1).shuffle(drugbank)
train_size = int(0.7 * len(drugbank))
valid_size = int(0.1 * len(drugbank))
train = drugbank[: train_size]
valid = drugbank[train_size: train_size + valid_size]
test = drugbank[train_size + valid_size:]
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Related Issues (12)
- Will you upload the training and test dataset? HOT 2
- 'unsup_dataset.csv' dataset problem HOT 1
- About 'training server setup' problem HOT 3
- About "'DataParallel' object has no attribute 'src_device_obj'" Error HOT 5
- dataset requeset HOT 3
- Some problems about the SMILES HOT 5
- How to get the scores as Fig.4 in the paper did? HOT 9
- How to get the roc-auc on BIOSNAP?
- ask for help
- How to generate unsup_datatest.csv
- Label_Multi in dataset
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