{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:12:34Z","timestamp":1774926754533,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":48,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T00:00:00Z","timestamp":1720569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7,10]]},"DOI":"10.1145\/3626772.3657716","type":"proceedings-article","created":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T12:40:05Z","timestamp":1720701605000},"page":"1609-1618","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":46,"title":["SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-0430-373X","authenticated-orcid":false,"given":"Yuxi","family":"Liu","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Peking University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0725-2211","authenticated-orcid":false,"given":"Lianghao","family":"Xia","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2062-1512","authenticated-orcid":false,"given":"Chao","family":"Huang","sequence":"additional","affiliation":[{"name":"Computer Science Department &amp; IDS, University of Hong Kong, Hong Kong, China"}]}],"member":"320","published-online":{"date-parts":[[2024,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Mingxiao An Fangzhao Wu Chuhan Wu Kun Zhang Zheng Liu and Xing Xie. 2019. Neural News Recommendation with Long- and Short-term User Representations. In ACL. 336--345."},{"key":"e_1_3_2_1_2_1","volume-title":"Duc Minh Nguyen, and Nikos Deligiannis","author":"Bonet Esther Rodrigo","year":"2021","unstructured":"Esther Rodrigo Bonet, Duc Minh Nguyen, and Nikos Deligiannis. 2021. Temporal Collaborative Filtering with Graph Convolutional Neural Networks. In ICPR. IEEE, 4736--4742."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential recommendation with graph neural networks. bibinfonumpages378--387 pages.","DOI":"10.1145\/3404835.3462968"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Yongjun Chen Zhiwei Liu Jia Li Julian McAuley and Caiming Xiong. 2022. Intent Contrastive Learning for Sequential Recommendation. In WWW. 2172--2182.","DOI":"10.1145\/3485447.3512090"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Eunjoon Cho Seth A. Myers and Jure Leskovec. 2011. Friendship and mobility: user movement in location-based social networks. In KDD. 1082--1090.","DOI":"10.1145\/2020408.2020579"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Ziwei Fan Zhiwei Liu Jiawei Zhang Yun Xiong Lei Zheng and Philip S Yu. 2021a. Continuous-time sequential recommendation with temporal graph collaborative transformer. In CIKM. 433--442.","DOI":"10.1145\/3459637.3482242"},{"key":"e_1_3_2_1_8_1","volume-title":"Yu","author":"Fan Ziwei","year":"2021","unstructured":"Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, and Philip S. Yu. 2021b. Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. In CIKM. 433--442."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Yingqiang Ge Shuya Zhao Honglu Zhou Changhua Pei Fei Sun Wenwu Ou and Yongfeng Zhang. 2020. Understanding echo chambers in e-commerce recommender systems. In SIGIR. 2261--2270.","DOI":"10.1145\/3397271.3401431"},{"key":"e_1_3_2_1_10_1","volume-title":"Konstan","author":"Maxwell Harper F.","year":"2015","unstructured":"F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TIIS) (2015)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Ruining He and Julian McAuley. 2016. Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. In WWW. 507--517.","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_1_12_1","unstructured":"Xiangnan He Kuan Deng Xiang Wang Yan Li YongDong Zhang and Meng Wang. 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural Collaborative Filtering. In WWW. 173--182.","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_15_1","unstructured":"Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. In ICLR."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Yangqin Jiang Chao Huang and Lianghao Huang. 2023. Adaptive graph contrastive learning for recommendation. In KDD. 4252--4261.","DOI":"10.1145\/3580305.3599768"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3627158","article-title":"Contrastive self-supervised learning in recommender systems: A survey","volume":"42","author":"Jing Mengyuan","year":"2023","unstructured":"Mengyuan Jing, Yanmin Zhu, Tianzi Zang, and Ke Wang. 2023. Contrastive self-supervised learning in recommender systems: A survey. ACM Transactions on Information Systems (TOIS), Vol. 42, 2 (2023), 1--39.","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"key":"e_1_3_2_1_18_1","volume-title":"Self-Attentive Sequential Recommendation","author":"Kang Wang-Cheng","unstructured":"Wang-Cheng Kang and Julian McAuley. 2018. Self-Attentive Sequential Recommendation. In ICDM. IEEE, 197--206."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Jiacheng Li Yujie Wang and Julian McAuley. 2020a. Time Interval Aware Self-Attention for Sequential Recommendation. In WSDM. 322--330.","DOI":"10.1145\/3336191.3371786"},{"key":"e_1_3_2_1_21_1","volume-title":"Dynamic Graph Collaborative Filtering","author":"Li Xiaohan","unstructured":"Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, and S Yu Philip. 2020b. Dynamic Graph Collaborative Filtering. In ICDM. IEEE, 322--331."},{"key":"e_1_3_2_1_22_1","first-page":"857","article-title":"Self-Supervised Learning: Generative or Contrastive","volume":"35","author":"Liu Xiao","year":"2023","unstructured":"Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, and Jie Tang. 2023. Self-Supervised Learning: Generative or Contrastive. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 35, 1 (2023), 857--876.","journal-title":"IEEE Transactions on Knowledge and Data Engineering (TKDE)"},{"key":"e_1_3_2_1_23_1","unstructured":"Zhiwei Liu Yongjun Chen Jia Li Philip S Yu Julian McAuley and Caiming Xiong. 2021. Contrastive Self-supervised Sequential Recommendation with Robust Augmentation."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Zhen Peng Wenbing Huang Minnan Luo Qinghua Zheng Yu Rong Tingyang Xu and Junzhou Huang. 2020. Graph Representation Learning via Graphical Mutual Information Maximization. In WWW. 259--270.","DOI":"10.1145\/3366423.3380112"},{"key":"e_1_3_2_1_25_1","volume-title":"NeurIPS","volume":"28","author":"Rao Nikhil","year":"2015","unstructured":"Nikhil Rao, Hsiang-Fu Yu, Pradeep K Ravikumar, and Inderjit S Dhillon. 2015. Collaborative filtering with graph information: Consistency and scalable methods. NeurIPS , Vol. 28 (2015)."},{"key":"e_1_3_2_1_26_1","volume-title":"Hui Wang, Bolin Ding, and Ji-Rong Wen.","author":"Ren Ruiyang","year":"2020","unstructured":"Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, and Ji-Rong Wen. 2020. Sequential Recommendation with Self-Attentive Multi-Adversarial Network. In SIGIR. 89--98."},{"key":"e_1_3_2_1_27_1","volume-title":"Xuheng Cai, and Chao Huang.","author":"Ren Xubin","year":"2024","unstructured":"Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang Wang, Xuheng Cai, and Chao Huang. 2024. SSLRec: A Self-Supervised Learning Framework for Recommendation. In WSDM. 567--575."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Yuta Saito Suguru Yaginuma Yuta Nishino Hayato Sakata and Kazuhide Nakata. 2020. Unbiased recommender learning from missing-not-at-random implicit feedback. bibinfonumpages501--509 pages.","DOI":"10.1145\/3336191.3371783"},{"key":"e_1_3_2_1_29_1","unstructured":"Ruslan Salakhutdinov and Andriy Mnih. 2007. Probabilistic Matrix Factorization. In NeurIPS. 1257--1264."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2833443"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou and Peng Jiang. 2019. BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. In CIKM. 1441--1450.","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i4.20335"},{"key":"e_1_3_2_1_33_1","volume-title":"HiGPT: Heterogeneous Graph Language Model. arXiv preprint arXiv:2402.16024","author":"Tang Jiabin","year":"2024","unstructured":"Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, and Chao Huang. 2024. HiGPT: Heterogeneous Graph Language Model. arXiv preprint arXiv:2402.16024 (2024)."},{"key":"e_1_3_2_1_34_1","unstructured":"Rianne van den Berg Thomas N. Kipf and Max Welling. 2017. Graph Convolutional Matrix Completion. arxiv: 1706.02263 [stat.ML]"},{"key":"e_1_3_2_1_35_1","volume-title":"Representation Learning with Contrastive Predictive Coding. arxiv","author":"van den Oord Aaron","year":"1807","unstructured":"Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2019. Representation Learning with Contrastive Predictive Coding. arxiv: 1807.03748 [cs.LG]"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural graph collaborative filtering. In SIGIR. 165--174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Ziyang Wang Wei Wei Gao Cong Xiao-Li Li Xian-Ling Mao and Minghui Qiu. 2020. Global context enhanced graph neural networks for session-based recommendation. In SIGIR. 169--178.","DOI":"10.1145\/3397271.3401142"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Wei Wei Chao Huang Lianghao Xia and Chuxu Zhang. 2023. Multi-modal self-supervised learning for recommendation. In WWW. 790--800.","DOI":"10.1145\/3543507.3583206"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian and Xing Xie. 2021. Self-supervised graph learning for recommendation. In SIGIR. 726--735.","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Lianghao Xia Chao Huang Chunzhen Huang Kangyi Lin Tao Yu and Ben Kao. 2023. Automated self-supervised learning for recommendation. In WWW. 992--1002.","DOI":"10.1145\/3543507.3583336"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Xin Xia Hongzhi Yin Junliang Yu Yingxia Shao and Lizhen Cui. 2021. Self-Supervised Graph Co-Training for Session-based Recommendation. In CIKM. 2180--2190.","DOI":"10.1145\/3459637.3482388"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Yuhao Yang Chao Huang Lianghao Xia Yuxuan Liang Yanwei Yu and Chenliang Li. 2022. Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. In KDD. 2263--2274.","DOI":"10.1145\/3534678.3539342"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3282907"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Jinghao Zhang Yanqiao Zhu Qiang Liu Shu Wu Shuhui Wang and Liang Wang. 2021. Mining latent structures for multimedia recommendation. In MM. 3872--3880.","DOI":"10.1145\/3474085.3475259"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3151618"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2569096"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Yu Zheng Chen Gao Jianxin Chang Yanan Niu Yang Song Depeng Jin and Yong Li. 2022. Disentangling Long and Short-Term Interests for Recommendation. In WWW. 2256--2267.","DOI":"10.1145\/3485447.3512098"}],"event":{"name":"SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Washington DC USA","acronym":"SIGIR 2024","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657716","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626772.3657716","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:39:53Z","timestamp":1755841193000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626772.3657716"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,10]]},"references-count":48,"alternative-id":["10.1145\/3626772.3657716","10.1145\/3626772"],"URL":"https:\/\/doi.org\/10.1145\/3626772.3657716","relation":{},"subject":[],"published":{"date-parts":[[2024,7,10]]},"assertion":[{"value":"2024-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}