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#graph neural networks Open access Oct 2026

Dynamic user interest modeling and prediction integrating query box embedding with graph neural networks

User interests are multi-peaked, vaguely bounded, and prone to temporal drift, yet most recommendation models still encode them as single points in a latent space, discarding coverage and uncertainty alike. This paper represents interest as a region rather than a location, and lets that region move as the interaction r...

Xu Wang · 0 citations

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