RECAP improves next-POI prediction by reconstructing sparse transitions via multi-hop graph transitivity and user revisit signals, yielding gains on tail transitions across real datasets.
When Does Compositional Structure Yield Composi- tional Generalization? A Kernel Theory
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Beyond Long Tail POIs: Transition-Centered Generalization for Human Mobility Prediction
RECAP improves next-POI prediction by reconstructing sparse transitions via multi-hop graph transitivity and user revisit signals, yielding gains on tail transitions across real datasets.