{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:42:34Z","timestamp":1774021354097,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":46,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176048"],"award-info":[{"award-number":["62176048"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,21]]},"DOI":"10.1145\/3583780.3614806","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:26Z","timestamp":1697874326000},"page":"793-802","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4950-3167","authenticated-orcid":false,"given":"Zheng","family":"Hu","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6293-0428","authenticated-orcid":false,"given":"Satoshi","family":"Nakagawa","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4222-7986","authenticated-orcid":false,"given":"Liang","family":"Luo","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3187-6668","authenticated-orcid":false,"given":"Yu","family":"Gu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4860-9184","authenticated-orcid":false,"given":"Fuji","family":"Ren","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2019.03.003"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Hamed R. Bonab Mohammad Aliannejadi Ali Vardasbi Evangelos Kanoulas and James Allan. 2021. Cross-Market Product Recommendation. In CIKM. ACM 110--119. Hamed R. Bonab Mohammad Aliannejadi Ali Vardasbi Evangelos Kanoulas and James Allan. 2021. Cross-Market Product Recommendation. In CIKM. ACM 110--119.","DOI":"10.1145\/3459637.3482493"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1086\/228631"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7552(98)00110-X"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0021849904040206"},{"key":"e_1_3_2_1_6_1","unstructured":"Jiangxia Cao Xin Cong Tingwen Liu and Bin Wang. 2022. Item Similarity Mining for Multi-Market Recommendation. In SIGIR. ACM 2249--2254. Jiangxia Cao Xin Cong Tingwen Liu and Bin Wang. 2022. Item Similarity Mining for Multi-Market Recommendation. In SIGIR. ACM 2249--2254."},{"key":"e_1_3_2_1_7_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. In SIGIR. ACM 378--387. Jianxin Chang Chen Gao Yu Zheng Yiqun Hui Yanan Niu Yang Song Depeng Jin and Yong Li. 2021. Sequential Recommendation with Graph Neural Networks. In SIGIR. ACM 378--387.","DOI":"10.1145\/3404835.3462968"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Mengru Chen Chao Huang Lianghao Xia Wei Wei Yong Xu and Ronghua Luo. 2023. Heterogeneous Graph Contrastive Learning for Recommendation. In WSDM. ACM 544--552. Mengru Chen Chao Huang Lianghao Xia Wei Wei Yong Xu and Ronghua Luo. 2023. Heterogeneous Graph Contrastive Learning for Recommendation. In WSDM. ACM 544--552.","DOI":"10.1145\/3539597.3570484"},{"key":"e_1_3_2_1_9_1","volume-title":"Hinton","author":"Chen Ting","year":"2020","unstructured":"Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey E . Hinton . 2020 . A Simple Framework for Contrastive Learning of Visual Representations. In ICML (Proceedings of Machine Learning Research , Vol. 119). PMLR, 1597-- 1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In ICML (Proceedings of Machine Learning Research, Vol. 119). PMLR, 1597--1607."},{"key":"e_1_3_2_1_10_1","volume-title":"Jiliang Tang, and Dawei Yin.","author":"Fan Wenqi","year":"2019","unstructured":"Wenqi Fan , Yao Ma , Qing Li , Yuan He , Yihong Eric Zhao , Jiliang Tang, and Dawei Yin. 2019 . Graph Neural Networks for Social Recommendation. In WWW. ACM , 417--426. Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, and Dawei Yin. 2019. Graph Neural Networks for Social Recommendation. In WWW. ACM, 417--426."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3008732"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1207\/S15327825MCS0502_5"},{"key":"e_1_3_2_1_13_1","volume-title":"A set of measures of centrality based on betweenness. Sociometry","author":"Freeman Linton C","year":"1977","unstructured":"Linton C Freeman . 1977. A set of measures of centrality based on betweenness. Sociometry ( 1977 ), 35--41. Linton C Freeman. 1977. A set of measures of centrality based on betweenness. Sociometry (1977), 35--41."},{"key":"e_1_3_2_1_14_1","first-page":"238","article-title":"Centrality in social networks: Conceptual clarification. Social Network: Critical Concepts in Sociology","volume":"1","author":"Freeman Linton C","year":"2002","unstructured":"Linton C Freeman 2002 . Centrality in social networks: Conceptual clarification. Social Network: Critical Concepts in Sociology . Londres: Routledge , Vol. 1 (2002), 238 -- 263 . Linton C Freeman et al. 2002. Centrality in social networks: Conceptual clarification. Social Network: Critical Concepts in Sociology. Londres: Routledge, Vol. 1 (2002), 238--263.","journal-title":"Londres: Routledge"},{"key":"e_1_3_2_1_15_1","volume-title":"AISTATS (JMLR Proceedings","volume":"256","author":"Glorot Xavier","year":"2010","unstructured":"Xavier Glorot and Yoshua Bengio . 2010 . Understanding the difficulty of training deep feedforward neural networks . In AISTATS (JMLR Proceedings , Vol. 9). JMLR.org, 249-- 256 . Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In AISTATS (JMLR Proceedings, Vol. 9). JMLR.org, 249--256."},{"key":"e_1_3_2_1_16_1","volume-title":"AISTATS (JMLR Proceedings","volume":"304","author":"Gutmann Michael","year":"2010","unstructured":"Michael Gutmann and Aapo Hyv\"a rinen. 2010 . Noise-contrastive estimation: A new estimation principle for unnormalized statistical models . In AISTATS (JMLR Proceedings , Vol. 9). JMLR.org, 297-- 304 . Michael Gutmann and Aapo Hyv\"a rinen. 2010. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. In AISTATS (JMLR Proceedings, Vol. 9). JMLR.org, 297--304."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Kuan Deng Xiang Wang Yan Li Yong-Dong Zhang and Meng Wang. 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR. ACM 639--648. Xiangnan He Kuan Deng Xiang Wang Yan Li Yong-Dong Zhang and Meng Wang. 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR. ACM 639--648.","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_18_1","volume-title":"Social Relations, and Reviews","author":"Hu Guang-Neng","unstructured":"Guang-Neng Hu , Xin-Yu Dai , Yunya Song , Shujian Huang , and Jiajun Chen . 2015. A Synthetic Approach for Recommendation: Combining Ratings , Social Relations, and Reviews . In IJCAI. AAAI Press , 1756--1762. Guang-Neng Hu, Xin-Yu Dai, Yunya Song, Shujian Huang, and Jiajun Chen. 2015. A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews. In IJCAI. AAAI Press, 1756--1762."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.076"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Irwin King Michael R. Lyu and Hao Ma. 2010. Introduction to social recommendation. In WWW. ACM 1355--1356. Irwin King Michael R. Lyu and Hao Ma. 2010. Introduction to social recommendation. In WWW. ACM 1355--1356.","DOI":"10.1145\/1772690.1772927"},{"key":"e_1_3_2_1_21_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling . 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In ICLR (Poster). OpenReview .net. Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR (Poster). OpenReview.net."},{"key":"e_1_3_2_1_22_1","volume-title":"ICML (Proceedings of Machine Learning Research","volume":"13065","author":"Li Sihang","year":"2022","unstructured":"Sihang Li , Xiang Wang , An Zhang , Yingxin Wu , Xiangnan He , and Tat-Seng Chua . 2022 . Let Invariant Rationale Discovery Inspire Graph Contrastive Learning . In ICML (Proceedings of Machine Learning Research , Vol. 162). PMLR, 13052-- 13065 . Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, and Tat-Seng Chua. 2022. Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. In ICML (Proceedings of Machine Learning Research, Vol. 162). PMLR, 13052--13065."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.01.001"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Xiaoling Long Chao Huang Yong Xu Huance Xu Peng Dai Lianghao Xia and Liefeng Bo. 2021. Social Recommendation with Self-Supervised Metagraph Informax Network. In CIKM. ACM 1160--1169. Xiaoling Long Chao Huang Yong Xu Huance Xu Peng Dai Lianghao Xia and Liefeng Bo. 2021. Social Recommendation with Self-Supervised Metagraph Informax Network. In CIKM. ACM 1160--1169.","DOI":"10.1145\/3459637.3482480"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1049\/trit.2018.1060"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/0267257X.2019.1632373"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2020.106353"},{"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":"BPR: Bayesian Personalized Ranking from Implicit Feedback","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 UAI. AUAI Press , 452--461. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI. AUAI Press, 452--461."},{"key":"e_1_3_2_1_31_1","volume-title":"Pennock","author":"Schein Andrew I.","year":"2002","unstructured":"Andrew I. Schein , Alexandrin Popescul , Lyle H. Ungar , and David M . Pennock . 2002 . Methods and metrics for cold-start recommendations. In SIGIR. ACM , 253--260. Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, and David M. Pennock. 2002. Methods and metrics for cold-start recommendations. In SIGIR. ACM, 253--260."},{"key":"e_1_3_2_1_32_1","volume-title":"A Survey of Graph Neural Networks for Social Recommender Systems. CoRR","author":"Sharma Kartik","year":"2022","unstructured":"Kartik Sharma , Yeon-Chang Lee , Sivagami Nambi , Aditya Salian , Shlok Shah , Sang-Wook Kim , and Srijan Kumar . 2022. A Survey of Graph Neural Networks for Social Recommender Systems. CoRR , Vol. abs\/ 2212 .04481 ( 2022 ). Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, and Srijan Kumar. 2022. A Survey of Graph Neural Networks for Social Recommender Systems. CoRR, Vol. abs\/2212.04481 (2022)."},{"key":"e_1_3_2_1_33_1","volume-title":"Khoshgoftaar","author":"Su Xiaoyuan","year":"2009","unstructured":"Xiaoyuan Su and Taghi M . Khoshgoftaar . 2009 . A Survey of Collaborative Filtering Techniques. Adv. Artif. Intell ., Vol. 2009 (2009), 421425:1--421425:19. Xiaoyuan Su and Taghi M. Khoshgoftaar. 2009. A Survey of Collaborative Filtering Techniques. Adv. Artif. Intell., Vol. 2009 (2009), 421425:1--421425:19."},{"key":"e_1_3_2_1_34_1","unstructured":"Susheel Suresh Pan Li Cong Hao and Jennifer Neville. 2021. Adversarial Graph Augmentation to Improve Graph Contrastive Learning. In NeurIPS. 15920--15933. Susheel Suresh Pan Li Cong Hao and Jennifer Neville. 2021. Adversarial Graph Augmentation to Improve Graph Contrastive Learning. In NeurIPS. 15920--15933."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-013-0141-9"},{"key":"e_1_3_2_1_36_1","unstructured":"Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR (Poster). OpenReview.net. Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR (Poster). OpenReview.net."},{"key":"e_1_3_2_1_37_1","unstructured":"Petar Velickovic William Fedus William L. Hamilton Pietro Li\u00f2 Yoshua Bengio and R. Devon Hjelm. 2019. Deep Graph Infomax. In ICLR (Poster). OpenReview.net. Petar Velickovic William Fedus William L. Hamilton Pietro Li\u00f2 Yoshua Bengio and R. Devon Hjelm. 2019. Deep Graph Infomax. In ICLR (Poster). OpenReview.net."},{"key":"e_1_3_2_1_38_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. ACM 165--174. Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In SIGIR. ACM 165--174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_39_1","unstructured":"Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li and Ke Tang. 2022a. Disentangled Contrastive Learning for Social Recommendation. In CIKM. ACM 4570--4574. Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li and Ke Tang. 2022a. Disentangled Contrastive Learning for Social Recommendation. In CIKM. ACM 4570--4574."},{"key":"e_1_3_2_1_40_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. ACM 726--735. Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian and Xing Xie. 2021. Self-supervised Graph Learning for Recommendation. In SIGIR. ACM 726--735.","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3048414"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Le Wu Peijie Sun Yanjie Fu Richang Hong Xiting Wang and Meng Wang. 2019a. A Neural Influence Diffusion Model for Social Recommendation. In SIGIR. ACM 235--244. Le Wu Peijie Sun Yanjie Fu Richang Hong Xiting Wang and Meng Wang. 2019a. A Neural Influence Diffusion Model for Social Recommendation. In SIGIR. ACM 235--244.","DOI":"10.1145\/3331184.3331214"},{"key":"e_1_3_2_1_43_1","volume-title":"Session-Based Recommendation with Graph Neural Networks","author":"Wu Shu","unstructured":"Shu Wu , Yuyuan Tang , Yanqiao Zhu , Liang Wang , Xing Xie , and Tieniu Tan . 2019b. Session-Based Recommendation with Graph Neural Networks . In AAAI. AAAI Press , 346--353. Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, and Tieniu Tan. 2019b. Session-Based Recommendation with Graph Neural Networks. In AAAI. AAAI Press, 346--353."},{"key":"e_1_3_2_1_44_1","unstructured":"Yuning You Tianlong Chen Yongduo Sui Ting Chen Zhangyang Wang and Yang Shen. 2020. Graph Contrastive Learning with Augmentations. In NeurIPS. Yuning You Tianlong Chen Yongduo Sui Ting Chen Zhangyang Wang and Yang Shen. 2020. Graph Contrastive Learning with Augmentations. In NeurIPS."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467340"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3033673"},{"key":"e_1_3_2_1_47_1","volume-title":"WWW. ACM \/ IW3C2","author":"Zhu Yanqiao","year":"2069","unstructured":"Yanqiao Zhu , Yichen Xu , Feng Yu , Qiang Liu , Shu Wu , and Liang Wang . 2021. Graph Contrastive Learning with Adaptive Augmentation . In WWW. ACM \/ IW3C2 , 2069 --2080. Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, and Liang Wang. 2021. Graph Contrastive Learning with Adaptive Augmentation. In WWW. ACM \/ IW3C2, 2069--2080."}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","location":"Birmingham United Kingdom","acronym":"CIKM '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614806","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3614806","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:57Z","timestamp":1750178217000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614806"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":46,"alternative-id":["10.1145\/3583780.3614806","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3614806","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}