{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:35:18Z","timestamp":1772724918078,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":72,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"2024 Innovation Evaluation Open Fund, Fudan University","award":["CXPJ2024006"],"award-info":[{"award-number":["CXPJ2024006"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72204087,72234005,72104212"],"award-info":[{"award-number":["72204087,72234005,72104212"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Planning Office of Philosophy and Social Science Youth Project","award":["2022ETQ001"],"award-info":[{"award-number":["2022ETQ001"]}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["N\/A"],"award-info":[{"award-number":["N\/A"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chen Guang project supported by Shanghai Municipal Education Commission and Shanghai Education Development Foundation","award":["23CGA28"],"award-info":[{"award-number":["23CGA28"]}]},{"name":"Shanghai Pujiang Program","award":["23PJC030"],"award-info":[{"award-number":["23PJC030"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3679546","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T19:34:21Z","timestamp":1729452861000},"page":"2764-2774","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Predicting Scientific Impact Through Diffusion, Conformity, and Contribution Disentanglement"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2351-9705","authenticated-orcid":false,"given":"Zhikai","family":"Xue","sequence":"first","affiliation":[{"name":"SEM, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1419-7495","authenticated-orcid":false,"given":"Guoxiu","family":"He","sequence":"additional","affiliation":[{"name":"SEM, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8562-8347","authenticated-orcid":false,"given":"Zhuoren","family":"Jiang","sequence":"additional","affiliation":[{"name":"SPA, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5608-8385","authenticated-orcid":false,"given":"Sichen","family":"Gu","sequence":"additional","affiliation":[{"name":"SEM, East China Normal University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8537-0208","authenticated-orcid":false,"given":"Yangyang","family":"Kang","sequence":"additional","affiliation":[{"name":"PI, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9347-590X","authenticated-orcid":false,"given":"Star","family":"Zhao","sequence":"additional","affiliation":[{"name":"IBD, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0929-7416","authenticated-orcid":false,"given":"Wei","family":"Lu","sequence":"additional","affiliation":[{"name":"SIM, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2019.02.011"},{"key":"e_1_3_2_1_2_1","volume-title":"Productivity differences among scientists: Evidence for accumulative advantage. American sociological review","author":"Allison Paul D","year":"1974","unstructured":"Paul D Allison and John A Stewart. 1974. Productivity differences among scientists: Evidence for accumulative advantage. American sociological review (1974), 596--606."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1371"},{"key":"e_1_3_2_1_4_1","volume-title":"Representation learning: A review and new perspectives","author":"Bengio Yoshua","year":"2013","unstructured":"Yoshua Bengio, Aaron Courville, and Pascal Vincent. 2013. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence, Vol. 35, 8 (2013), 1798--1828."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1108\/00220410810844150"},{"key":"e_1_3_2_1_6_1","volume-title":"International Conference on Learning Representations.","author":"Brody Shaked","year":"2022","unstructured":"Shaked Brody, Uri Alon, and Eran Yahav. 2022. How Attentive are Graph Attention Networks?. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/285"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132973"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/369380.369393"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/int.22786"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531952"},{"key":"e_1_3_2_1_12_1","volume-title":"CasSampling: Exploring Efficient Cascade Graph Learning for Popularity Prediction. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 70--86","author":"Cheng Guixiang","year":"2023","unstructured":"Guixiang Cheng, Xin Yan, Shengxiang Gao, Guangyi Xu, and Xianghua Miao. 2023. CasSampling: Exploring Efficient Cascade Graph Learning for Popularity Prediction. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 70--86."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2021636118"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.207"},{"key":"e_1_3_2_1_15_1","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Emily","unstructured":"Emily L Denton et al. 2017. Unsupervised learning of disentangled representations from video. In Advances in Neural Information Processing Systems, Vol. 30."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2684822.2685314"},{"key":"e_1_3_2_1_17_1","volume-title":"Science","volume":"323","author":"Evans James A","year":"2009","unstructured":"James A Evans and Jacob Reimer. 2009. Open access and global participation in science. Science, Vol. 323, 5917 (2009), 1025--1025."},{"key":"e_1_3_2_1_18_1","first-page":"24934","article-title":"Debiasing graph neural networks via learning disentangled causal substructure","volume":"35","author":"Fan Shaohua","year":"2022","unstructured":"Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, and Jian Tang. 2022. Debiasing graph neural networks via learning disentangled causal substructure. In Advances in Neural Information Processing Systems, Vol. 35. 24934--24946.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_19_1","volume-title":"Fast Graph Representation Learning with PyTorch Geometric. In ICLR Workshop on Representation Learning on Graphs and Manifolds.","author":"Fey Matthias","unstructured":"Matthias Fey and Jan E. Lenssen. 2019. Fast Graph Representation Learning with PyTorch Geometric. In ICLR Workshop on Representation Learning on Graphs and Manifolds."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557398"},{"key":"e_1_3_2_1_21_1","volume-title":"Predictive aspects of a stochastic model for citation processes. Information processing & management","author":"Gl\u00e4nzel Wolfgang","year":"1995","unstructured":"Wolfgang Gl\u00e4nzel and Andr\u00e1s Schubert. 1995. Predictive aspects of a stochastic model for citation processes. Information processing & management, Vol. 31, 1 (1995), 69--80."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1555942"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1154"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2023.103512"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102799"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450107"},{"key":"e_1_3_2_1_27_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)."},{"key":"e_1_3_2_1_28_1","unstructured":"Rodney Kinney Chloe Anastasiades Russell Authur Iz Beltagy Jonathan Bragg Alexandra Buraczynski Isabel Cachola Stefan Candra Yoganand Chandrasekhar Arman Cohan et al. 2023. The semantic scholar open data platform. arXiv preprint arXiv:2301.10140 (2023)."},{"key":"e_1_3_2_1_29_1","first-page":"25123","article-title":"Learning debiased representation via disentangled feature augmentation","volume":"34","author":"Lee Jungsoo","year":"2021","unstructured":"Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon Lee, and Jaegul Choo. 2021. Learning debiased representation via disentangled feature augmentation. In Advances in Neural Information Processing Systems, Vol. 34. 25123--25133.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052643"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.447"},{"key":"e_1_3_2_1_32_1","volume-title":"international conference on machine learning. PMLR, 4114--4124","author":"Locatello Francesco","year":"2019","unstructured":"Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Raetsch, Sylvain Gelly, Bernhard Sch\u00f6lkopf, and Olivier Bachem. 2019. Challenging common assumptions in the unsupervised learning of disentangled representations. In international conference on machine learning. PMLR, 4114--4124."},{"key":"e_1_3_2_1_33_1","volume-title":"International conference on machine learning. PMLR, 4212--4221","author":"Ma Jianxin","year":"2019","unstructured":"Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, and Wenwu Zhu. 2019. Disentangled graph convolutional networks. In International conference on machine learning. PMLR, 4212--4221."},{"key":"e_1_3_2_1_34_1","volume-title":"Proceedings of the 33rd International Conference on Neural Information Processing Systems. 5711--5722","author":"Ma Jianxin","year":"2019","unstructured":"Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, and Wenwu Zhu. 2019. Learning disentangled representations for recommendation. In Proceedings of the 33rd International Conference on Neural Information Processing Systems. 5711--5722."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107000"},{"key":"e_1_3_2_1_36_1","volume-title":"Proc. of the 7th International World Wide Web Conf.","author":"Page Lawrence","year":"1998","unstructured":"Lawrence Page, Sergey Brin, Rajeev Motwani, and Terry Winograd. 1998. The pagerank citation ranking: Bring order to the web. In Proc. of the 7th International World Wide Web Conf."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5984"},{"key":"e_1_3_2_1_38_1","volume-title":"PyTorch: An Imperative Style","author":"Paszke Adam","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems, H. Wallach, H. Larochelle, A. Beygelzimer, F. dtextquotesingle Alch\u00e9-Buc, E. Fox, and R. Garnett (Eds.), Vol. 32. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2019\/file\/bdbca288fee7f92f2bfa9f7012727740-Paper.pdf"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2020.101039"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371845"},{"key":"e_1_3_2_1_43_1","volume-title":"Markus Hagenbuchner, and Gabriele Monfardini.","author":"Scarselli Franco","year":"2008","unstructured":"Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. 2008. The graph neural network model. IEEE transactions on neural networks, Vol. 20, 1 (2008), 61--80."},{"key":"e_1_3_2_1_44_1","volume-title":"Ivan Titov, and Max Welling.","author":"Schlichtkrull Michael","year":"2018","unstructured":"Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling. 2018. Modeling relational data with graph convolutional networks. In European semantic web conference. Springer, 593--607."},{"key":"e_1_3_2_1_45_1","first-page":"487","article-title":"Citations and the Zipf--Mandelbrot Law","volume":"11","author":"Silagadze ZK","year":"1997","unstructured":"ZK Silagadze. 1997. Citations and the Zipf--Mandelbrot Law. Complex Systems, Vol. 11 (1997), 487--499.","journal-title":"Complex Systems"},{"key":"e_1_3_2_1_46_1","volume-title":"Science","volume":"354","author":"Sinatra Roberta","year":"2016","unstructured":"Roberta Sinatra, Dashun Wang, Pierre Deville, Chaoming Song, and Albert-L\u00e1szl\u00f3 Barab\u00e1si. 2016. Quantifying the evolution of individual scientific impact. Science, Vol. 354, 6312 (2016), aaf5239."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.572108"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539366"},{"key":"e_1_3_2_1_49_1","volume-title":"The role of trust and authority in the citation behaviour of researchers. Information research","author":"Thornley Clare","year":"2015","unstructured":"Clare Thornley, Anthony Watkinson, Dave Nicholas, Rachel Volentine, Hamid R Jamali, Eti Herman, Suzie Allard, Kenneth Levine, and Carol Tenopir. 2015. The role of trust and authority in the citation behaviour of researchers. Information research, Vol. 20, 3 (2015), 667."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:SCIE.0000018543.82441.f1"},{"key":"e_1_3_2_1_51_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems. 6000--6010","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Proceedings of the 31st International Conference on Neural Information Processing Systems. 6000--6010."},{"key":"e_1_3_2_1_52_1","volume-title":"Science","volume":"342","author":"Wang Dashun","year":"2013","unstructured":"Dashun Wang, Chaoming Song, and Albert-L\u00e1szl\u00f3 Barab\u00e1si. 2013. Quantifying long-term scientific impact. Science, Vol. 342, 6154 (2013), 127--132."},{"key":"e_1_3_2_1_53_1","volume-title":"Highly-Performant Package for Graph Neural Networks. arXiv preprint arXiv:1909.01315","author":"Wang Minjie","year":"2019","unstructured":"Minjie Wang, Da Zheng, Zihao Ye, Quan Gan, Mufei Li, Xiang Song, Jinjing Zhou, Chao Ma, Lingfan Yu, Yu Gai, Tianjun Xiao, Tong He, George Karypis, Jinyang Li, and Zheng Zhang. 2019. Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks. arXiv preprint arXiv:1909.01315 (2019)."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411996"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539279"},{"key":"e_1_3_2_1_56_1","volume-title":"Nature","volume":"566","author":"Wu Lingfei","year":"2019","unstructured":"Lingfei Wu, Dashun Wang, and James A Evans. 2019. Large teams develop and small teams disrupt science and technology. Nature, Vol. 566, 7744 (2019), 378--382."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"e_1_3_2_1_58_1","volume-title":"International Conference on Learning Representations.","author":"Xu Keyulu","year":"2019","unstructured":"Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. 2019. How Powerful are Graph Neural Networks?. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_59_1","first-page":"4539","article-title":"Ccgl: Contrastive cascade graph learning","volume":"35","author":"Xu Xovee","year":"2022","unstructured":"Xovee Xu, Fan Zhou, Kunpeng Zhang, and Siyuan Liu. 2022. Ccgl: Contrastive cascade graph learning. IEEE Transactions on Knowledge and Data Engineering, Vol. 35, 5 (2022), 4539--4554.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103216"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657926"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063757"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3487553.3524231"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00058"},{"key":"e_1_3_2_1_65_1","first-page":"20286","article-title":"Factorizable graph convolutional networks","volume":"33","author":"Yang Yiding","year":"2020","unstructured":"Yiding Yang, Zunlei Feng, Mingli Song, and Xinchao Wang. 2020. Factorizable graph convolutional networks. In Advances in Neural Information Processing Systems, Vol. 33. 20286--20296.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539300"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-014-1279-6"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599319"},{"key":"e_1_3_2_1_69_1","unstructured":"Zeyang Zhang Xin Wang Ziwei Zhang Haoyang Li Zhou Qin and Wenwu Zhu. 2022. Dynamic graph neural networks under spatio-temporal distribution shift. In Advances in Neural Information Processing Systems."},{"key":"e_1_3_2_1_70_1","volume-title":"Thirty-seventh Conference on Neural Information Processing Systems.","author":"Zhang Zeyang","year":"2023","unstructured":"Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Haoyang Li, Wenwu Zhu, et al. 2023. Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts. In Thirty-seventh Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449788"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3433000"}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","location":"Boise ID USA","acronym":"CIKM '24","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679546","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3679546","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:22Z","timestamp":1750294702000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679546"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":72,"alternative-id":["10.1145\/3627673.3679546","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3679546","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}