Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts
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arXiv:2609.02996v1 Announce Type: cross Abstract: Graph neural networks (GNNs) are a class of neural networks suitable for learning on graph-structured data. Their application to spatial data is a natural extension, however its relatively unclear which message-passing operations, architectural conf…
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- 2026-09-04 04:00 · arXiv stat.ML
Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts