{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T19:27:00Z","timestamp":1775503620638,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T00:00:00Z","timestamp":1745280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62476244,62372399,62476245"],"award-info":[{"award-number":["62476244,62372399,62476245"]}]},{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LTGG23F030005"],"award-info":[{"award-number":["LTGG23F030005"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,28]]},"DOI":"10.1145\/3696410.3714927","type":"proceedings-article","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T16:42:02Z","timestamp":1746463322000},"page":"4863-4874","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Uncertainty-Aware Graph Structure Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6714-5237","authenticated-orcid":false,"given":"Shen","family":"Han","sequence":"first","affiliation":[{"name":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China and College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9291-169X","authenticated-orcid":false,"given":"Zhiyao","family":"Zhou","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China and College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4752-2629","authenticated-orcid":false,"given":"Jiawei","family":"Chen","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China, Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China, and College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9900-894X","authenticated-orcid":false,"given":"Zhezheng","family":"Hao","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3645-1041","authenticated-orcid":false,"given":"Sheng","family":"Zhou","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6248-1426","authenticated-orcid":false,"given":"Gang","family":"Wang","sequence":"additional","affiliation":[{"name":"Bangsun Technology, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3605-5404","authenticated-orcid":false,"given":"Yan","family":"Feng","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China and College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6198-7481","authenticated-orcid":false,"given":"Chun","family":"Chen","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China and College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5890-4307","authenticated-orcid":false,"given":"Can","family":"Wang","sequence":"additional","affiliation":[{"name":"The State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2025,4,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.05.008"},{"key":"e_1_3_2_1_2_1","volume-title":"2nd International Conference on Learning Representations, ICLR","author":"Bruna Joan","year":"2013","unstructured":"Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. In 2nd International Conference on Learning Representations, ICLR 2014. Curran Associates Inc., Red Hook; NY; United States."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645517"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3564284"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657747"},{"key":"e_1_3_2_1_6_1","first-page":"19314","article-title":"Iterative deep graph learning for graph neural networks: Better and robust node embeddings","volume":"33","author":"Chen Yu","year":"2020","unstructured":"Yu Chen, Lingfei Wu, and Mohammed Zaki. 2020. Iterative deep graph learning for graph neural networks: Better and robust node embeddings. Advances in Neural Information Processing Systems, Vol. 33 (2020), 19314--19326.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781933019543"},{"key":"e_1_3_2_1_8_1","volume-title":"Advances in Neural Information Processing Systems","volume":"29","author":"Defferrard Micha\u00ebl","year":"2016","unstructured":"Micha\u00ebl Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in Neural Information Processing Systems, Vol. 29 (2016)."},{"key":"e_1_3_2_1_9_1","volume-title":"Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. In The Twelfth International Conference on Learning Representations","author":"Deng Chenhui","year":"2024","unstructured":"Chenhui Deng, Zichao Yue, and Zhiru Zhang. 2024. Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. In The Twelfth International Conference on Learning Representations. Curran Associates Inc., Red Hook; NY; United States. https:\/\/openreview.net\/forum?id=hmv1LpNfXa"},{"key":"e_1_3_2_1_10_1","first-page":"2930","article-title":"Sketch-GNN: Scalable graph neural networks with sublinear training complexity","volume":"35","author":"Ding Mucong","year":"2022","unstructured":"Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, and Furong Huang. 2022. Sketch-GNN: Scalable graph neural networks with sublinear training complexity. Advances in Neural Information Processing Systems, Vol. 35 (2022), 2930--2943.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449927"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i8.28679"},{"key":"e_1_3_2_1_13_1","first-page":"22667","article-title":"Slaps: Self-supervision improves structure learning for graph neural networks","volume":"34","author":"Fatemi Bahare","year":"2021","unstructured":"Bahare Fatemi, Layla El Asri, and Seyed Mehran Kazemi. 2021. Slaps: Self-supervision improves structure learning for graph neural networks. Advances in Neural Information Processing Systems, Vol. 34 (2021), 22667--22681.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_14_1","volume-title":"International Conference on Machine Learning. PMLR, Curran Associates Inc.","author":"Franceschi Luca","year":"2019","unstructured":"Luca Franceschi, Mathias Niepert, Massimiliano Pontil, and Xiao He. 2019. Learning discrete structures for graph neural networks. In International Conference on Machine Learning. PMLR, Curran Associates Inc., Long Beach, California, USA, 1972--1982."},{"key":"e_1_3_2_1_15_1","volume-title":"International Conference on Learning Representations","author":"Gasteiger Johannes","unstructured":"Johannes Gasteiger, Aleksandar Bojchevski, and Stephan G\u00fcnnemann. 2019. Combining Neural Networks with Personalized PageRank for Classification on Graphs. In International Conference on Learning Representations. Curran Associates Inc., Red Hook; NY; United States. https:\/\/openreview.net\/forum?id=H1gL-2A9Ym"},{"key":"e_1_3_2_1_16_1","first-page":"7637","article-title":"Robustness of graph neural networks at scale","volume":"34","author":"Geisler Simon","year":"2021","unstructured":"Simon Geisler, Tobias Schmidt, Hakan \u015eirin, Daniel Z\u00fcgner, Aleksandar Bojchevski, and Stephan G\u00fcnnemann. 2021. Robustness of graph neural networks at scale. Advances in Neural Information Processing Systems, Vol. 34 (2021), 7637--7649.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_17_1","volume-title":"International Conference on Machine Learning. PMLR, JMLR.org, Sydney NSW Australia, 1263--1272","author":"Gilmer Justin","year":"2017","unstructured":"Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl. 2017. Neural message passing for quantum chemistry. In International Conference on Machine Learning. PMLR, JMLR.org, Sydney NSW Australia, 1263--1272."},{"key":"e_1_3_2_1_18_1","first-page":"7264","article-title":"Convolutional neural networks on graphs with chebyshev approximation, revisited","volume":"35","author":"He Mingguo","year":"2022","unstructured":"Mingguo He, Zhewei Wei, and Ji-Rong Wen. 2022. Convolutional neural networks on graphs with chebyshev approximation, revisited. Advances in Neural Information Processing Systems, Vol. 35 (2022), 7264--7276.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_19_1","first-page":"13775","article-title":"What makes graph neural networks miscalibrated","volume":"35","author":"Hao-Hsun Hsu Hans","year":"2022","unstructured":"Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, and Daniel Cremers. 2022. What makes graph neural networks miscalibrated? Advances in Neural Information Processing Systems, Vol. 35 (2022), 13775--13786.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_20_1","volume-title":"Open Graph Benchmark: Datasets for Machine Learning on Graphs. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020","author":"Hu Weihua","year":"2020","unstructured":"Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, and Jure Leskovec. 2020. Open Graph Benchmark: Datasets for Machine Learning on Graphs. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6--12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). Curran Associates Inc., Red Hook; NY; United States. https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/fb60d411a5c5b72b2e7d3527cfc84fd0-Abstract.html"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018667"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645522"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403049"},{"key":"e_1_3_2_1_24_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 International Conference on Learning Representations. Curran Associates, Inc., Red Hook; NY; United States. https:\/\/openreview.net\/forum?id=SJU4ayYgl"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467413"},{"key":"e_1_3_2_1_26_1","volume-title":"GSLB: The Graph Structure Learning Benchmark. In Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track","author":"Li Zhixun","year":"2023","unstructured":"Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, and Jeffrey Xu Yu. 2023. GSLB: The Graph Structure Learning Benchmark. In Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. Curran Associates Inc., Red Hook; NY; United States. https:\/\/openreview.net\/forum?id=xT3i5GS3zU"},{"key":"e_1_3_2_1_27_1","volume-title":"The Twelfth International Conference on Learning Representations. Curran Associates","author":"Liu Juncheng","unstructured":"Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, and Xiaokui Xiao. 2024. Scalable and Effective Implicit Graph Neural Networks on Large Graphs. In The Twelfth International Conference on Learning Representations. Curran Associates, Inc., Red Hook; NY; United States. https:\/\/openreview.net\/forum?id=QcMdPYBwTu"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512206"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512186"},{"key":"e_1_3_2_1_30_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Lu Jianglin","year":"2024","unstructured":"Jianglin Lu, Yi Xu, Huan Wang, Yue Bai, and Yun Fu. 2024. Latent graph inference with limited supervision. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_31_1","volume-title":"International Conference on Learning Representations. Curran Associates, Inc., Austria. https:\/\/openreview.net\/forum?id=ucASPPD9GKN","author":"Ma Yao","year":"2022","unstructured":"Yao Ma, Xiaorui Liu, Neil Shah, and Jiliang Tang. 2022. Is Homophily a Necessity for Graph Neural Networks?. In International Conference on Learning Representations. Curran Associates, Inc., Austria. https:\/\/openreview.net\/forum?id=ucASPPD9GKN"},{"key":"e_1_3_2_1_32_1","volume-title":"The Eleventh International Conference on Learning Representations. Curran Associates, Inc., Kigali, Rwanda.","author":"Platonov Oleg","year":"2023","unstructured":"Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, and Liudmila Prokhorenkova. 2023. A critical look at the evaluation of GNNs under heterophily: Are we really making progress?. In The Eleventh International Conference on Learning Representations. Curran Associates, Inc., Kigali, Rwanda."},{"key":"e_1_3_2_1_33_1","volume-title":"Collective classification in network data. AI magazine","author":"Sen Prithviraj","year":"2008","unstructured":"Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Galligher, and Tina Eliassi-Rad. 2008. Collective classification in network data. AI magazine, Vol. 29, 3 (2008), 93--93."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539332"},{"key":"e_1_3_2_1_35_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Song Zixing","year":"2024","unstructured":"Zixing Song, Yifei Zhang, and Irwin King. 2024. Optimal block-wise asymmetric graph construction for graph-based semi-supervised learning. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_36_1","first-page":"18033","article-title":"Graph posterior network: Bayesian predictive uncertainty for node classification","volume":"34","author":"Stadler Maximilian","year":"2021","unstructured":"Maximilian Stadler, Bertrand Charpentier, Simon Geisler, Daniel Z\u00fcgner, and Stephan G\u00fcnnemann. 2021. Graph posterior network: Bayesian predictive uncertainty for node classification. Advances in Neural Information Processing Systems, Vol. 34 (2021), 18033--18048.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_37_1","volume-title":"The Eleventh International Conference on Learning Representations. Curran Associates","author":"Um Daeho","unstructured":"Daeho Um, Jiwoong Park, Seulki Park, and Jin young Choi. 2023. Confidence-Based Feature Imputation for Graphs with Partially Known Features. In The Eleventh International Conference on Learning Representations. Curran Associates, Inc., Red Hook; NY; United States. https:\/\/openreview.net\/forum?id=YPKBIILy-Kt"},{"key":"e_1_3_2_1_38_1","volume-title":"Graph Attention Networks. In International Conference on Learning Representations. Curran Associates, Inc., Red Hook; NY; United States. https:\/\/openreview.net\/forum?id=rJXMpikCZ","author":"Velickovic Petar","year":"2018","unstructured":"Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li\u00f2, and Yoshua Bengio. 2018. Graph Attention Networks. In International Conference on Learning Representations. Curran Associates, Inc., Red Hook; NY; United States. https:\/\/openreview.net\/forum?id=rJXMpikCZ"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645598"},{"key":"e_1_3_2_1_40_1","volume-title":"Yu","author":"Wang Fangxin","year":"2024","unstructured":"Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, and Philip S. Yu. 2024b. Uncertainty in Graph Neural Networks: A Survey. Transactions on Machine Learning Research (2024). https:\/\/openreview.net\/forum?id=0e1Kn76HM1"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599476"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449952"},{"key":"e_1_3_2_1_43_1","first-page":"23768","article-title":"Be confident! towards trustworthy graph neural networks via confidence calibration","volume":"34","author":"Wang Xiao","year":"2021","unstructured":"Xiao Wang, Hongrui Liu, Chuan Shi, and Cheng Yang. 2021a. Be confident! towards trustworthy graph neural networks via confidence calibration. Advances in Neural Information Processing Systems, Vol. 34 (2021), 23768--23779.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_44_1","volume-title":"International Conference on Machine Learning. PMLR, Curran Associates, Inc.","author":"Wu Felix","year":"2019","unstructured":"Felix Wu, Amauri Souza, Tianyi Zhang, Christopher Fifty, Tao Yu, and Kilian Weinberger. 2019. Simplifying graph convolutional networks. In International Conference on Machine Learning. PMLR, Curran Associates, Inc., Long Beach, California, USA, 6861--6871."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482424"},{"key":"e_1_3_2_1_46_1","volume-title":"International Conference on Machine Learning. PMLR, Curran Associates, Inc.","author":"Xu Keyulu","year":"2018","unstructured":"Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, and Stefanie Jegelka. 2018. Representation learning on graphs with jumping knowledge networks. In International Conference on Machine Learning. PMLR, Curran Associates, Inc., Stockholm, Sweden, 5453--5462."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67664-3_23"},{"key":"e_1_3_2_1_48_1","volume-title":"Uncertainty-aware Graph-based Hyperspectral Image Classification. In The Twelfth International Conference on Learning Representations. OpenReview.net","author":"Yu Linlin","year":"2023","unstructured":"Linlin Yu, Yifei Lou, and Feng Chen. 2023. Uncertainty-aware Graph-based Hyperspectral Image Classification. In The Twelfth International Conference on Learning Representations. OpenReview.net, Vienna, Austria."},{"key":"e_1_3_2_1_49_1","first-page":"545","article-title":"Hierarchical multi-view graph pooling with structure learning","volume":"35","author":"Zhang Zhen","year":"2021","unstructured":"Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, and Can Wang. 2021. Hierarchical multi-view graph pooling with structure learning. IEEE Transactions on Knowledge and Data Engineering, Vol. 35, 1 (2021), 545--559.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_50_1","first-page":"12827","article-title":"Uncertainty aware semi-supervised learning on graph data","volume":"33","author":"Zhao Xujiang","year":"2020","unstructured":"Xujiang Zhao, Feng Chen, Shu Hu, and Jin-Hee Cho. 2020. Uncertainty aware semi-supervised learning on graph data. Advances in Neural Information Processing Systems, Vol. 33 (2020), 12827--12836.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_51_1","volume-title":"OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. In Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. Curran Associates Inc.","author":"Zhou Zhiyao","year":"2023","unstructured":"Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, and Can Wang. 2023. OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. In Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. Curran Associates Inc., Red Hook, NY, USA. https:\/\/openreview.net\/forum?id=yXLyhKvK4D"}],"event":{"name":"WWW '25: The ACM Web Conference 2025","location":"Sydney NSW Australia","acronym":"WWW '25","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714927","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696410.3714927","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:54Z","timestamp":1750295934000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714927"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,22]]},"references-count":51,"alternative-id":["10.1145\/3696410.3714927","10.1145\/3696410"],"URL":"https:\/\/doi.org\/10.1145\/3696410.3714927","relation":{},"subject":[],"published":{"date-parts":[[2025,4,22]]},"assertion":[{"value":"2025-04-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}