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What is DisenPOI Disentangling Sequential and Geographica about?

The paper presents DisenPOI, a novel dual-graph framework for Point-of-Interest (POI) recommendation that disentangles sequential and geographical influences using self-supervision. By constructing separate graphs for sequential and geographical relationships, the model enhances recommendation performance and interpretability through contrastive learning. Experiments demonstrate the effectiveness of DisenPOI on multiple datasets, highlighting its superiority over existing methods.

Author

jowaycqu

Language

EN