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: We consider the problem of parsimoniously selecting sensors or scheduling sensor observation actions to optimize the covariance of a predicted system state. In contrast to previous work on ...
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