Tag: graph autoencoder

A new graph autoencoder framework called SPICEiST enhances cell clustering in imaging-based spatial transcriptomics by integrating subcellular RNA patterns with ...

A new open-access study reports that fusing attribute features with graph structure and training classifiers collaboratively reached 0.724 accuracy on ...

Researchers combined a graph autoencoder, an attention-equipped graph convolutional network, and a slime-mould-inspired optimizer to locate hidden faults in smart ...

A new unsupervised deep learning framework called SaDGAE uses a self-adaptive cell graph and a doubly enhanced graph autoencoder to ...

A new dual-masked graph autoencoder called DM-GAE maps mineral prospectivity in Tibet with high accuracy despite scarce labeled deposits, outperforming ...