Graph Convolutional Networks for Hyperspectral Image Classification

Short summary

A novel minibatch Graph Convolutional Network (miniGCN) enables efficient hyperspectral image classification by allowing large-scale GCN training in batches and out-of-sample inference without retraining, outperforming traditional GCNs.

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