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LLMRec: Large Language Models with Graph Augmentation for Recommendation., , , , , , , , и . CoRR, (2023)A Survey of Large Language Models for Graphs., , , , и . KDD, стр. 6616-6626. ACM, (2024)Large Language Models for Graphs: Progresses and Directions., , , , и . WWW (Companion Volume), стр. 1284-1287. ACM, (2024)SSLRec: A Self-Supervised Learning Library for Recommendation., , , , , , и . CoRR, (2023)SSLRec: A Self-Supervised Learning Framework for Recommendation., , , , , , и . WSDM, стр. 567-575. ACM, (2024)LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation., , , и . ICLR, OpenReview.net, (2023)LLMRec: Large Language Models with Graph Augmentation for Recommendation., , , , , , , , и . WSDM, стр. 806-815. ACM, (2024)How Expressive are Graph Neural Networks in Recommendation?, , , и . CIKM, стр. 173-182. ACM, (2023)Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation., , и . ACM Trans. Inf. Syst., 41 (4): 106:1-106:25 (октября 2023)Disentangled Contrastive Collaborative Filtering., , , , и . SIGIR, стр. 1137-1146. ACM, (2023)