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Python library for building preconditiioner with Graph Neural Network

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# DeepNPG: Deep Neural Preconditioner with Graph Neural Networks

DeepNPG is a Python library for building preconditiioner with Graph Neural Networks. It provides straightforward interfaces to convert matrix into graph and perform efficient neural network training.

All data (e.g., numpy.ndarray, spicpy.sparse.csc/csr/bsr) will be automatically converted into sparse COOrdinate format (COO format), and then to gemetric data format.

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