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RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms., , , , , , , , , и 9 other автор(ы). CIKM, стр. 4653-4664. ACM, (2021)Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering., , , , и . SIGIR, стр. 122-132. ACM, (2022)Can Small Language Models be Good Reasoners for Sequential Recommendation?, , , , , , , , и . WWW, стр. 3876-3887. ACM, (2024)Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation., , , , и . CIKM, стр. 2442-2451. ACM, (2023)Multimodal Meta-Learning for Cold-Start Sequential Recommendation., , , , , , и . CIKM, стр. 3421-3430. ACM, (2022)Temporal Contrastive Pre-Training for Sequential Recommendation., , , , и . CIKM, стр. 1925-1934. ACM, (2022)RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms., , , , , , , , , и 9 other автор(ы). CoRR, (2020)RecBole 2.0: Towards a More Up-to-Date Recommendation Library., , , , , , , , , и 9 other автор(ы). CIKM, стр. 4722-4726. ACM, (2022)Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning., , , и . WWW, стр. 2320-2329. ACM, (2022)Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data., , , , , , и . KDD, стр. 2154-2164. ACM, (2021)