{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T10:04:31Z","timestamp":1775815471946,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":64,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,19]]},"DOI":"10.1145\/3442381.3449844","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:37:45Z","timestamp":1622749065000},"page":"413-424","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":423,"title":["Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation"],"prefix":"10.1145","author":[{"given":"Junliang","family":"Yu","sequence":"first","affiliation":[{"name":"University of Queensland, Australia"}]},{"given":"Hongzhi","family":"Yin","sequence":"additional","affiliation":[{"name":"University of Queensland, Australia"}]},{"given":"Jundong","family":"Li","sequence":"additional","affiliation":[{"name":"University of Virginia, USA"}]},{"given":"Qinyong","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Queensland, Australia"}]},{"given":"Nguyen Quoc Viet","family":"Hung","sequence":"additional","affiliation":[{"name":"Griffith University, Australia"}]},{"given":"Xiangliang","family":"Zhang","sequence":"additional","affiliation":[{"name":"King Abdullah University of Science and Technology, Saudi Arabia"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Philip Bachman R\u00a0Devon Hjelm and William Buchwalter. 2019. Learning representations by maximizing mutual information across views. In Advances in Neural Information Processing Systems. 15535\u201315545.  Philip Bachman R\u00a0Devon Hjelm and William Buchwalter. 2019. Learning representations by maximizing mutual information across views. In Advances in Neural Information Processing Systems. 15535\u201315545."},{"key":"e_1_3_2_1_2_1","unstructured":"Song Bai Feihu Zhang and Philip\u00a0HS Torr. 2019. Hypergraph convolution and hypergraph attention. arXiv preprint arXiv:1901.08150(2019).  Song Bai Feihu Zhang and Philip\u00a0HS Torr. 2019. Hypergraph convolution and hypergraph attention. arXiv preprint arXiv:1901.08150(2019)."},{"key":"e_1_3_2_1_3_1","volume-title":"Higher-order organization of complex networks. Science 353, 6295","author":"Benson R","year":"2016","unstructured":"Austin\u00a0 R Benson , David\u00a0 F Gleich , and Jure Leskovec . 2016. Higher-order organization of complex networks. Science 353, 6295 ( 2016 ), 163\u2013166. Austin\u00a0R Benson, David\u00a0F Gleich, and Jure Leskovec. 2016. Higher-order organization of complex networks. Science 353, 6295 (2016), 163\u2013166."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-00080-0"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874005"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.psych.55.090902.142015"},{"key":"e_1_3_2_1_8_1","volume-title":"International conference on machine learning. 933\u2013941","author":"Dauphin N","year":"2017","unstructured":"Yann\u00a0 N Dauphin , Angela Fan , Michael Auli , and David Grangier . 2017 . Language modeling with gated convolutional networks . In International conference on machine learning. 933\u2013941 . Yann\u00a0N Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017. Language modeling with gated convolutional networks. In International conference on machine learning. 933\u2013941."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"e_1_3_2_1_11_1","unstructured":"Min Gao Junwei Zhang Junliang Yu Jundong Li Junhao Wen and Qingyu Xiong. 2020. Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. arXiv preprint arXiv:2003.02474(2020).  Min Gao Junwei Zhang Junliang Yu Jundong Li Junhao Wen and Qingyu Xiong. 2020. Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective. arXiv preprint arXiv:2003.02474(2020)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9153"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330839"},{"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","unstructured":"R\u00a0Devon 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).  R\u00a0Devon 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_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403253"},{"key":"e_1_3_2_1_17_1","unstructured":"Wei Jin Tyler Derr Haochen Liu Yiqi Wang Suhang Wang Zitao Liu and Jiliang Tang. 2020. Self-supervised learning on graphs: Deep insights and new direction. arXiv preprint arXiv:2006.10141(2020).  Wei Jin Tyler Derr Haochen Liu Yiqi Wang Suhang Wang Zitao Liu and Jiliang Tang. 2020. Self-supervised learning on graphs: Deep insights and new direction. arXiv preprint arXiv:2006.10141(2020)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01437"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401252"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1571978"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1639714.1639746"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458205"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935877"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403091"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"e_1_3_2_1_26_1","volume-title":"Network motifs: simple building blocks of complex networks. Science 298, 5594","author":"Milo Ron","year":"2002","unstructured":"Ron Milo , Shai Shen-Orr , Shalev Itzkovitz , Nadav Kashtan , Dmitri Chklovskii , and Uri Alon . 2002. Network motifs: simple building blocks of complex networks. Science 298, 5594 ( 2002 ), 824\u2013827. Ron Milo, Shai Shen-Orr, Shalev Itzkovitz, Nadav Kashtan, Dmitri Chklovskii, and Uri Alon. 2002. Network motifs: simple building blocks of complex networks. Science 298, 5594 (2002), 824\u2013827."},{"key":"e_1_3_2_1_27_1","unstructured":"Aaron van\u00a0den Oord Yazhe Li and Oriol Vinyals. 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748(2018).  Aaron van\u00a0den 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_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380112"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403168"},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press, 452\u2013461","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and Lars Schmidt-Thieme . 2009 . BPR: Bayesian personalized ranking from implicit feedback . In Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press, 452\u2013461 . Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press, 452\u2013461."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Aravind Sankar Junting Wang Adit Krishnan and Hari Sundaram. 2020. Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. arXiv preprint arXiv:2009.05197(2020).  Aravind Sankar Junting Wang Adit Krishnan and Hari Sundaram. 2020. Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. arXiv preprint arXiv:2009.05197(2020).","DOI":"10.1109\/ICDM50108.2020.00056"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Aravind Sankar Yanhong Wu Yuhang Wu Wei Zhang Hao Yang and Hari Sundaram. 2020. GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. arXiv preprint arXiv:2006.03736(2020).  Aravind Sankar Yanhong Wu Yuhang Wu Wei Zhang Hao Yang and Hari Sundaram. 2020. GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. arXiv preprint arXiv:2006.03736(2020).","DOI":"10.1145\/3397271.3401116"},{"key":"e_1_3_2_1_33_1","unstructured":"Badrul\u00a0Munir Sarwar. 2001. Sparsity scalability and distribution in recommender systems.(2001).  Badrul\u00a0Munir Sarwar. 2001. Sparsity scalability and distribution in recommender systems.(2001)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290989"},{"key":"e_1_3_2_1_35_1","unstructured":"Ke Sun Zhouchen Lin and Zhanxing Zhu. 2019. Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels. arXiv preprint arXiv:1902.11038(2019).  Ke Sun Zhouchen Lin and Zhanxing Zhu. 2019. Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels. arXiv preprint arXiv:1902.11038(2019)."},{"key":"e_1_3_2_1_36_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998\u20136008.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998\u20136008."},{"key":"e_1_3_2_1_37_1","unstructured":"Petar Velickovic William Fedus William\u00a0L Hamilton Pietro Li\u00f2 Yoshua Bengio and R\u00a0Devon Hjelm. 2019. Deep Graph Infomax.. In ICLR (Poster).  Petar Velickovic William Fedus William\u00a0L Hamilton Pietro Li\u00f2 Yoshua Bengio and R\u00a0Devon Hjelm. 2019. Deep Graph Infomax.. In ICLR (Poster)."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401133"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2663422"},{"key":"e_1_3_2_1_40_1","unstructured":"Le Wu Junwei Li Peijie Sun Yong Ge and Meng Wang. 2020. DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. arXiv preprint arXiv:2002.00844(2020).  Le Wu Junwei Li Peijie Sun Yong Ge and Meng Wang. 2020. DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation. arXiv preprint arXiv:2002.00844(2020)."},{"key":"e_1_3_2_1_41_1","unstructured":"Le Wu Peijie Sun Yanjie Fu Richang Hong Xiting Wang and Meng Wang. 2019. A Neural Influence Diffusion Model for Social Recommendation. CoRR abs\/1904.10322(2019).  Le Wu Peijie Sun Yanjie Fu Richang Hong Xiting Wang and Meng Wang. 2019. A Neural Influence Diffusion Model for Social Recommendation. CoRR abs\/1904.10322(2019)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313442"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"e_1_3_2_1_44_1","unstructured":"Xin Xia Hongzhi Yin Junliang Yu Qinyong Wang Lizhen Cui and Xiangliang Zhang. 2020. Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. arXiv preprint arXiv:2012.06852(2020).  Xin Xia Hongzhi Yin Junliang Yu Qinyong Wang Lizhen Cui and Xiangliang Zhang. 2020. Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. arXiv preprint arXiv:2012.06852(2020)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Xin Xin Alexandros Karatzoglou Ioannis Arapakis and Joemon\u00a0M Jose. 2020. Self-Supervised Reinforcement Learning forRecommender Systems. arXiv preprint arXiv:2006.05779(2020).  Xin Xin Alexandros Karatzoglou Ioannis Arapakis and Joemon\u00a0M Jose. 2020. Self-Supervised Reinforcement Learning forRecommender Systems. arXiv preprint arXiv:2006.05779(2020).","DOI":"10.1145\/3397271.3401147"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2605085"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313635"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2016.7498303"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00057"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3023787"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2580511"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2018.00088"},{"key":"e_1_3_2_1_53_1","volume-title":"Graph Contrastive Learning with Augmentations. Advances in Neural Information Processing Systems 33","author":"You Yuning","year":"2020","unstructured":"Yuning You , Tianlong Chen , Yongduo Sui , Ting Chen , Zhangyang Wang , and Yang Shen . 2020. Graph Contrastive Learning with Augmentations. Advances in Neural Information Processing Systems 33 ( 2020 ). Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, and Yang Shen. 2020. Graph Contrastive Learning with Augmentations. Advances in Neural Information Processing Systems 33 (2020)."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11740-9_34"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271725"},{"key":"e_1_3_2_1_56_1","volume-title":"Hybrid attacks on model-based social recommender systems. Physica A: Statistical Mechanics and its Applications 483","author":"Yu Junliang","year":"2017","unstructured":"Junliang Yu , Min Gao , Wenge Rong , Wentao Li , Qingyu Xiong , and Junhao Wen . 2017. Hybrid attacks on model-based social recommender systems. Physica A: Statistical Mechanics and its Applications 483 ( 2017 ), 171\u2013181. Junliang Yu, Min Gao, Wenge Rong, Wentao Li, Qingyu Xiong, and Junhao Wen. 2017. Hybrid attacks on model-based social recommender systems. Physica A: Statistical Mechanics and its Applications 483 (2017), 171\u2013181."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00087"},{"key":"e_1_3_2_1_58_1","unstructured":"Junliang Yu Hongzhi Yin Jundong Li Min Gao Zi Huang and Lizhen Cui. 2020. Enhance Social Recommendation with Adversarial Graph Convolutional Networks. arXiv preprint arXiv:2004.02340(2020).  Junliang Yu Hongzhi Yin Jundong Li Min Gao Zi Huang and Lizhen Cui. 2020. Enhance Social Recommendation with Adversarial Graph Convolutional Networks. arXiv preprint arXiv:2004.02340(2020)."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00156"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"crossref","unstructured":"Huan Zhao Xiaogang Xu Yangqiu Song Dik\u00a0Lun Lee Zhao Chen and Han Gao. 2018. Ranking Users in Social Networks With Higher-Order Structures.. In AAAI. 232\u2013240.  Huan Zhao Xiaogang Xu Yangqiu Song Dik\u00a0Lun Lee Zhao Chen and Han Gao. 2018. Ranking Users in Social Networks With Higher-Order Structures.. In AAAI. 232\u2013240.","DOI":"10.1609\/aaai.v32i1.11287"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661998"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-017-0494-5"},{"key":"e_1_3_2_1_63_1","unstructured":"Jie Zhou Ganqu Cui Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li and Maosong Sun. 2018. Graph neural networks: A review of methods and applications. arXiv preprint arXiv:1812.08434(2018).  Jie Zhou Ganqu Cui Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li and Maosong Sun. 2018. Graph neural networks: A review of methods and applications. arXiv preprint arXiv:1812.08434(2018)."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"crossref","unstructured":"Kun Zhou Hui Wang Wayne\u00a0Xin Zhao Yutao Zhu Sirui Wang Fuzheng Zhang Zhongyuan Wang and Ji-Rong Wen. 2020. S2303 3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. arXiv preprint arXiv:2008.07873(2020).  Kun Zhou Hui Wang Wayne\u00a0Xin Zhao Yutao Zhu Sirui Wang Fuzheng Zhang Zhongyuan Wang and Ji-Rong Wen. 2020. S2303 3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. arXiv preprint arXiv:2008.07873(2020).","DOI":"10.1145\/3340531.3411954"}],"event":{"name":"WWW '21: The Web Conference 2021","location":"Ljubljana Slovenia","acronym":"WWW '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449844","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3449844","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:22Z","timestamp":1750195462000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449844"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":64,"alternative-id":["10.1145\/3442381.3449844","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3449844","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}