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An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph.

, , , , , , , and . KDD, page 75-84. ACM, (2020)

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Learning Enhanced Representations for Tabular Data via Neighborhood Propagation., , , , , , , , and . CoRR, (2022)Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank., , , , , , , and . CIKM, page 1004-1013. ACM, (2023)Why Propagate Alone? Parallel Use of Labels and Features on Graphs., , , , , , , , , and . CoRR, (2021)Inductive Relation Prediction Using Analogy Subgraph Embeddings., , , , , , , and . ICLR, OpenReview.net, (2022)Lending Interaction Wings to Recommender Systems with Conversational Agents., , , , , , , and . CoRR, (2023)InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization., , , , , , and . CoRR, (2024)Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation., , , , , , , and . WWW, page 3206-3216. ACM, (2022)Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation., , , , , , , , , and 2 other author(s). AAAI, page 5027-5035. AAAI Press, (2023)A Deep Recurrent Survival Model for Unbiased Ranking., , , , , , , , , and . SIGIR, page 29-38. ACM, (2020)GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network., , , , , , , and . ACM Trans. Inf. Syst., 40 (3): 45:1-45:35 (2022)