Graph Distributional Signals for Regularization in Graph Neural Networks
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DOI: 10.1109/tsipn.2025.3587400
Abstract: In graph neural networks (GNNs), both node features and labels are examples of graph signals. While it is common in graph signal processing to impose signal smoothness constraints in learning and estimation tasks, it is… read more here.
Keywords: graph distributional; distributional signals; networks graph; graph neural ... See more keywords