Representing Spatial Data with Graph Contrastive Learning

Representing Spatial Data with Graph Contrastive Learning

Large-scale geospatial data pave the way for geospatial machine learning algorithms, and a good representation is related to whether the machine learning model is effective. Hence, it is a critical task to learn effective feature representation for geospatial data. In this paper, we construct a spat...

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Bibliographic Details
Main Authors:	Lanting Fang, Ze Kou, Yulian Yang, Tao Li
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Remote Sensing
Subjects:	spatial data contrastive learning graph representation location prediction
Online Access:	https://www.mdpi.com/2072-4292/15/4/880

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