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Graph Contextualized Self-Attention Network for Session-based Recommendation.

, , , , , , , and . IJCAI, page 3940-3946. ijcai.org, (2019)

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Cross-Domain Recommendation with Adversarial Examples., , , , , and . DASFAA (3), volume 12114 of Lecture Notes in Computer Science, page 573-589. Springer, (2020)AdaCML: Adaptive Collaborative Metric Learning for Recommendation., , , , , , , and . DASFAA (2), volume 11447 of Lecture Notes in Computer Science, page 301-316. Springer, (2019)Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems., , , , , , and . CoRR, (2020)Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching., , , , , , and . WWW, page 1586-1597. ACM / IW3C2, (2021)Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation., , , , , , , , and . AAAI, page 7667-7674. AAAI Press, (2020)Frequency Enhanced Hybrid Attention Network for Sequential Recommendation., , , , , , , and . SIGIR, page 78-88. ACM, (2023)Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data., , , , and . ACL (2), page 1349-1358. Association for Computational Linguistics, (2023)Uncertainty Quantification for In-Context Learning of Large Language Models., , , , , , , , , and 3 other author(s). NAACL-HLT, page 3357-3370. Association for Computational Linguistics, (2024)Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models., , , , , , , , , and 3 other author(s). CoRR, (2024)Sequential Recommender System based on Hierarchical Attention Networks., , , , , , , and . IJCAI, page 3926-3932. ijcai.org, (2018)