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SAIL: A Learnable Generalisation of Spatial Autocorrelation over Graph-Structured Data
In vision and scientific domains involving spatial data, a key question is whether node feature values vary independently across space or form coherent spatial structures. Classical spatial autocorrelation statistics such as Moran's $I$ and Geary's $C$ quantify this phenomenon but operate on a singl
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