Abstract: This study pioneers the application of Graph Attention Networks (GAT) and Graph Neural Networks (GNN), to the emulation of MEMS silicon beams under external loadings, representing a ...
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Abstract: Graph Neural Networks (GNNs) have achieved remarkable performance on various learning tasks on geometric data. However, the incorporation of graph structures into the learning of node ...