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Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks

Summary: PRIM uses a spatially enriched relational GNN for inferring POI relationships across multiple relation types. Four novelties—weighted relational GNN, category taxonomy integration, self-attentive spatial context extractor, and distance-specific scoring—boost robustness to sparsity and unseen cases on real-world POI data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12926
Venue
VLDB
Year
2022
Pagerank
4.3519095e-05
Overall Rank
9,353 | 34.94%
DOI
10.14778/3494124.3494134

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