The model employs a three-dimensional (3D) convolutional autoencoder, with an encoder-decoder structure that learns spatiotemporal representations and reconstructs the input through the latent space.

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Thus, a multi-source heterogeneous information fusion method based graph convolutional network (MHIF-GCN) is proposed in this paper. In this framework, a convolutional autoencoder is used to extract ...