AGRL-DSE: Adaptive Graph Representation Learning on a Heterogeneous Graph for Drug Side Effect Prediction
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DOI: 10.1021/acsomega.5c04006
Abstract: Identifying side effects is crucial for drug development and postmarket surveillance. Several computational methods based on graph neural networks (GNNs) have been developed, leveraging the topological structure and node attributes in graphs with promising results.… read more here.
Keywords: adaptive graph; drug side; drug; agrl dse ... See more keywords