GraphDTA
收藏kaggle2024-02-22 更新2024-03-11 收录
下载链接：
https://www.kaggle.com/datasets/researchhusni/graphdta
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创建时间：
2024-02-13
相关数据集
Output GraphDTA Training
kaggle2024-02-14 更新00
GraphDTA post-hoc analysis scripts
These scripts reproduce the post-hoc analysis for the GraphDTA paper.
Zenodo2020-07-30 更新00
Comparing the BiComp-DTA against the alternative methods, i.e. GraphDTA, FusionDTA, and FC, in terms of the number of trainable parameters, and the corresponding accuracy values for Davis and Kiba datasets (CI).
Comparing the BiComp-DTA against the alternative methods, i.e. GraphDTA, FusionDTA, and FC, in terms of the number of trainable parameters, and the corresponding accuracy values for Davis and Kiba dat
NIAID Data Ecosystem00
GraphDTA post-hoc analysis scripts
These scripts reproduce the post-hoc analysis for the GraphDTA paper.
Zenodo2020-07-30 更新00
Comparing the BiComp-DTA against the alternative methods, i.e. DeepDTA, WideDTA, GraphDTA, FC, and FusionDTA, in terms of the training and inference times on GPUs and CPUs (seconds/epoch).
Comparing the BiComp-DTA against the alternative methods, i.e. DeepDTA, WideDTA, GraphDTA, FC, and FusionDTA, in terms of the training and inference times on GPUs and CPUs (seconds/epoch).
NIAID Data Ecosystem10
