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Heterogeneous Graph Neural Networks to Predict What Happen Next
Existing work cannot well represent the heterogeneous relations and capture the discontinuous event segments that are common in the event chain.
Rethinking Item Importance in Session-based Recommendation
We employ a modified self-attention mechanism to estimate item importance in a session, which is then used to predict user's long-term preference.
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