Abstract: Graph neural networks learn node embeddings by recursively sampling and aggregating nodes in a graph, while existing methods have a fixed pattern of node sampling and aggregation, and ...
Abstract: In view of the low efficiency of traditional numerical methods in predicting complex electric fields in metal cavities and their constraints on electromagnetic coupling and electromagnetic ...
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