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 ...
Ibogaine’s unconventional “matrix pharmacology” may underlie both its therapeutic promise and unpredictable cardiac risks. Unraveling this mechanism could help drug developers hoping to bring ibogaine ...
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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