Inductive graph‐based long short‐term memory network for the prediction of nonlinear floor responses and member forces of steel buildings subjected to orthogonal horizontal ground motions

This paper introduces a novel hierarchical graph‐based long short‐term memory network designed for predicting the nonlinear seismic responses of building structures. We represent buildings as graphs with nodes and edges and utilize graph neural network (GNN) and long short‐term memory (LSTM) technol...

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