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In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403170"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512090"},{"key":"e_1_3_2_1_7_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3414685.3417834"},{"key":"e_1_3_2_1_9_1","volume-title":"Exploring structure-adaptive graph learning for robust semi-supervised classification. In 2020 ieee international conference on multimedia and expo (icme)","author":"Gao Xiang","unstructured":"Xiang Gao , Wei Hu , and Zongming Guo . 2020. Exploring structure-adaptive graph learning for robust semi-supervised classification. In 2020 ieee international conference on multimedia and expo (icme) . IEEE , 1--6. Xiang Gao, Wei Hu, and Zongming Guo. 2020. Exploring structure-adaptive graph learning for robust semi-supervised classification. In 2020 ieee international conference on multimedia and expo (icme). IEEE, 1--6."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331322"},{"key":"e_1_3_2_1_11_1","volume-title":"GUESR: A Global Unsupervised Data- Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. In Database Systems for Advanced Applications: 28th International Conference, DASFAA","author":"Han Yongqiang","year":"2023","unstructured":"Yongqiang Han , Likang Wu , Hao Wang , Guifeng Wang , Mengdi Zhang , Zhi Li , Defu Lian , and Enhong Chen . 2023 . GUESR: A Global Unsupervised Data- Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. In Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17--20, 2023, Proceedings, Part II. Springer, 286--296. Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, and Enhong Chen. 2023. GUESR: A Global Unsupervised Data- Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. In Database Systems for Advanced Applications: 28th International Conference, DASFAA 2023, Tianjin, China, April 17--20, 2023, Proceedings, Part II. Springer, 286--296."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0030"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_15_1","volume-title":"International conference on machine learning. PMLR, 4182--4192","author":"Henaff Olivier","year":"2020","unstructured":"Olivier Henaff . 2020 . Data-efficient image recognition with contrastive predictive coding . In International conference on machine learning. PMLR, 4182--4192 . Olivier Henaff. 2020. Data-efficient image recognition with contrastive predictive coding. In International conference on machine learning. 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Learning deep representations by mutual information estimation and maximization. arXiv preprint arXiv:1808.06670 ( 2018 ). R Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Phil Bachman, Adam Trischler, and Yoshua Bengio. 2018. Learning deep representations by mutual information estimation and maximization. arXiv preprint arXiv:1808.06670 (2018)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403049"},{"key":"e_1_3_2_1_19_1","volume-title":"Understanding dimensional collapse in contrastive self-supervised learning. arXiv preprint arXiv:2110.09348","author":"Jing Li","year":"2021","unstructured":"Li Jing , Pascal Vincent , Yann LeCun , and Yuandong Tian . 2021. Understanding dimensional collapse in contrastive self-supervised learning. arXiv preprint arXiv:2110.09348 ( 2021 ). Li Jing, Pascal Vincent, Yann LeCun, and Yuandong Tian. 2021. Understanding dimensional collapse in contrastive self-supervised learning. arXiv preprint arXiv:2110.09348 (2021)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_1_21_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. 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Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 ( 2018 ). Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)."},{"key":"e_1_3_2_1_34_1","volume-title":"Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748","author":"van den Oord Aaron","year":"2018","unstructured":"Aaron van den Oord , Yazhe Li , and Oriol Vinyals . 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 ( 2018 ). Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2018. 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BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618 (2012)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109900"},{"key":"e_1_3_2_1_42_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in neural information processing systems 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_43_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Velickovic Petar","year":"2017","unstructured":"Petar Velickovic , Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 ( 2017 ). Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. 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A Survey on Large Language Models for Recommendation. arXiv preprint arXiv:2305.19860 (2023)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3494523"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539125"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00099"},{"key":"e_1_3_2_1_58_1","first-page":"3940","article-title":"Graph Contextualized Self- Attention Network for Session-based Recommendation","volume":"19","author":"Xu Chengfeng","year":"2019","unstructured":"Chengfeng Xu , Pengpeng Zhao , Yanchi Liu , Victor S Sheng , Jiajie Xu , Fuzhen Zhuang , Junhua Fang , and Xiaofang Zhou . 2019 . Graph Contextualized Self- Attention Network for Session-based Recommendation .. In IJCAI , Vol. 19. 3940 -- 3946 . 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Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, and Tie-Yan Liu. 2021. Do transformers really perform badly for graph representation? Advances in Neural Information Processing Systems 34 (2021), 28877--28888.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467340"},{"key":"e_1_3_2_1_63_1","volume-title":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1294--1303","author":"Yu Junliang","year":"2022","unstructured":"Junliang Yu , Hongzhi Yin , Xin Xia , Tong Chen , Lizhen Cui , and Quoc Viet Hung Nguyen . 2022 . Are graph augmentations necessary? simple graph contrastive learning for recommendation . In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1294--1303 . Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, and Quoc Viet Hung Nguyen. 2022. Are graph augmentations necessary? simple graph contrastive learning for recommendation. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1294--1303."},{"key":"e_1_3_2_1_64_1","volume-title":"Self-supervised learning for recommender systems: A survey. arXiv preprint arXiv:2203.15876","author":"Yu Junliang","year":"2022","unstructured":"Junliang Yu , Hongzhi Yin , Xin Xia , Tong Chen , Jundong Li , and Zi Huang . 2022. Self-supervised learning for recommender systems: A survey. arXiv preprint arXiv:2203.15876 ( 2022 ). Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, and Zi Huang. 2022. Self-supervised learning for recommender systems: A survey. arXiv preprint arXiv:2203.15876 (2022)."},{"key":"e_1_3_2_1_65_1","volume-title":"Deep learning based recommender system: A survey and new perspectives. 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