Abstract: Geospatial data have been transformative for the monitoring of the Earth, yet, as in the case of (geo) physical monitoring, the measurements can have variable spatial and temporal sampling ...
Abstract: Graph neural networks (GNNs) are extensively employed in location-related scenarios, relying on aggregation to gather features from neighboring nodes based on edge weights. Features are ...
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