Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...
A new study published in Engineering presents an innovative computational method for predicting the distribution of blast loads on complex 3D buildings using graph neural networks. The research, led ...
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