REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
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Updated
Nov 11, 2024 - Python
REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction
MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
Scripts and results from an article on screening of Norwegian health registries in search for associations between drug usage and Parkinson's disease incidence.
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