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SAIL: A Learnable Generalisation of Spatial Autocorrelation over Graph-Structured Data

arXiv:2610.28806v1 Announce Type: new Abstract: 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…

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  1. 2026-10-22 04:00 · arXiv cs.CV
    SAIL: A Learnable Generalisation of Spatial Autocorrelation over Graph-Structured Data

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