Abstract: The emergence of Graph Convolutional Network (GCN) has greatly boosted the progress of graph learning. However, two disturbing factors, noise and redundancy in graph data, and lack of ...
Abstract: Most existing neural network (NN) approaches for modeling EM problems are based on training with the S-parameter at the external input-output ports of the EM structures. In this paper we ...
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