Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...
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These 7 Python libraries are useful even if you're not a developer
Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
Abstract: We present Modular Polynomial (MP) Codes for Secure Distributed Matrix Multiplication (SDMM). The construction is based on the observation that one can decode certain proper subsets of the ...
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