Showing 3 of 3 projects
A Python package for applying graph neural networks to molecular graphs and biological networks in life science research.
A deep learning toolkit for computational chemistry and drug design research with PyTorch backend.
GraphDTA predicts drug-target binding affinity using graph neural networks for drug discovery.
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