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Code and data from the "DeepTransformer: Node Classification Research of a Deep Graph Network on an Osteoporosis Graph based on GraphTransformer" paper.

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DeepTransformer

Code and data from the "DeepTransformer: Node Classification Research of a Deep Graph Network on an Osteoporosis Graph based on GraphTransformer" paper.

MolecularDockingExperience:It is the data and results used for molecular docking by the SailVina software, which is available at https://github.com/beikwx/SailVina/.

data:It contains the compound data and target data needed to build the graph data.

.py:First run the preprocessing.py file, then run the build_graph.py file, and finally use deep_gnn.py to train and predict.

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Code and data from the "DeepTransformer: Node Classification Research of a Deep Graph Network on an Osteoporosis Graph based on GraphTransformer" paper.

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