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Boosting Few-Shot Learning via Attentive Feature Regularization.

, , , , , and . AAAI, page 7793-7801. AAAI Press, (2024)

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Reinforced Negative Sampling for Recommendation with Exposure Data., , , , and . IJCAI, page 2230-2236. ijcai.org, (2019)Neural Multi-task Recommendation from Multi-behavior Data., , , , , , , and . ICDE, page 1554-1557. IEEE, (2019)Learning and Reasoning on Graph for Recommendation., , and . WSDM, page 890-893. ACM, (2020)A Survey of Adversarial Learning on Graphs., , , , , , , and . CoRR, (2020)Invariant Representation Learning for Multimedia Recommendation., , , , and . ACM Multimedia, page 619-628. ACM, (2022)Learning Intents behind Interactions with Knowledge Graph for Recommendation., , , , , , and . WWW, page 878-887. ACM / IW3C2, (2021)SMASC 2017: First International Workshop on Social Media Analytics for Smart Cities., , , , , and . CIKM, page 2567-2568. ACM, (2017)TriRank: Review-aware Explainable Recommendation by Modeling Aspects., , , and . CIKM, page 1661-1670. ACM, (2015)Self-Supervised Learning for Recommendation., , , , and . CIKM, page 5136-5139. ACM, (2022)Rumor detection with self-supervised learning on texts and social graph., , , , and . Frontiers Comput. Sci., 17 (4): 174611 (August 2023)