Martin Bauw

Graph neural networks create sampling-invariant signal embeddings

Researchers have developed graph neural networks (GNNs) to create sampling-invariant embeddings for organized signal sets. These encoders project heterogeneously sampled signal data into a fixed-size vector space, effec…