Abstract: In this study, we proposed a new method combining graph sampling aggregation network (GraphSAGE), Contrastive Learning (CL) and Bayesian Optimization. First, GraphSAGE was used to model the ...
Abstract: This study focuses on the design and optimization of lightweight neural network inference accelerator based on FPGA, and proposes an efficient accelerator architecture suitable for ...
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