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Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation., , , , , and . CoRR, (2020)A Study on Hierarchical Text Classification as a Seq2seq Task., , , , and . ECIR (3), volume 14610 of Lecture Notes in Computer Science, page 287-296. Springer, (2024)Understanding the Benefits of Forgetting When Learning on Dynamic Graphs., and . ECML/PKDD (2), volume 13714 of Lecture Notes in Computer Science, page 37-52. Springer, (2022)KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation., , , , and . SIGIR, page 1245-1248. ACM, (2017)Learning to recommend diverse items over implicit feedback on PANDOR., , and . RecSys, page 427-431. ACM, (2018)Noise-free latent block model for high dimensional data., and . Data Min. Knowl. Discov., 33 (2): 446-473 (2019)Variational Perspective on Fair Edge Prediction., , , and . IDA (1), volume 14641 of Lecture Notes in Computer Science, page 93-104. Springer, (2024)Fair Text Classification with Wasserstein Independence., , , , and . EMNLP, page 15790-15803. Association for Computational Linguistics, (2023)Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport., , , and . ECML/PKDD (6), volume 14946 of Lecture Notes in Computer Science, page 269-286. Springer, (2024)Understanding deep neural networks through the lens of their non-linearity., , , , , , , , and . CoRR, (2023)