Author

Abhishek Potnis

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#artificial intelligence Review Sep 2026

Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts

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 configurations, and graph representation is best suited for classifying cha...

A. Potnis, Jacob Arndt · 0 citations

#artificial intelligence Review Aug 2026

Electronic Navigational Chart Change Classification

Electronic Navigational Charts (ENCs) are geospatial vector datasets used in maritime navigation systems that represent hydrographic and navigational information such as depths, navigational aids, traffic schemes, and hazards. A major challenge for hydrographic offices is determining whether a given chart change poses...

Jacob Arndt, A. Potnis, Alexandre Sorokine · 0 citations