NARA introduces a unified self-supervised method for learning relational, context-dependent representations of heterogeneous vector geoentities that improves performance on building classification, traffic prediction, and POI recommendation.
Modeling user activity preference by leveraging user spatial temporal characteristics in lbsns.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45(1):129–142
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NARA: Anchor-Conditioned Relation-Aware Contextualization of Heterogeneous Geoentities
NARA introduces a unified self-supervised method for learning relational, context-dependent representations of heterogeneous vector geoentities that improves performance on building classification, traffic prediction, and POI recommendation.