Evaluating graph neural networks for change-criticality classification in maritime navigation charts
Read the original at arxiv.org→arXiv:2609.02996v1 Announce Type: new 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,...
Original headline: "Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts"
Coverage timeline
- Sep 4, 04:00 UTC arXiv cs.LG lead source Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts