{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T08:15:18Z","timestamp":1783152918897,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":57,"publisher":"ACM","funder":[{"name":"the Science and Technology Development Fund, Macau SAR","award":["0126&#x5c;&#x2f;2024&#x5c;&#x2f;RIA2, 001&#x5c;&#x2f;2024&#x5c;&#x2f;SKL"],"award-info":[{"award-number":["0126&#x5c;&#x2f;2024&#x5c;&#x2f;RIA2, 001&#x5c;&#x2f;2024&#x5c;&#x2f;SKL"]}]},{"name":"GDST","award":["2020B1212030003, 2023A0505030013"],"award-info":[{"award-number":["2020B1212030003, 2023A0505030013"]}]},{"name":"Nansha District","award":["2023ZD001"],"award-info":[{"award-number":["2023ZD001"]}]},{"name":"UM","award":["MYRG-GRG2023-00186-FST-UMDF, MYRG-GRG2025-00234-FST"],"award-info":[{"award-number":["MYRG-GRG2023-00186-FST-UMDF, MYRG-GRG2025-00234-FST"]}]},{"name":"CG-2026","award":["CG-2026"],"award-info":[{"award-number":["CG-2026"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3774904.3792081","type":"proceedings-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T21:54:34Z","timestamp":1775771674000},"page":"5710-5721","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Graph Reweighting for Collaborative Filtering"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8804-2697","authenticated-orcid":false,"given":"Yijun","family":"Sheng","sequence":"first","affiliation":[{"name":"University of Macau, Macau SAR, Macao"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8356-6198","authenticated-orcid":false,"given":"Ximing","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Macau, Macau SAR, Macao"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6771-4598","authenticated-orcid":false,"given":"Pui Ieng","family":"Lei","sequence":"additional","affiliation":[{"name":"University of Macau, Macau SAR, Macao"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9762-4008","authenticated-orcid":false,"given":"Yanyan","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Macau, Macau SAR, Macao"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8149-9879","authenticated-orcid":false,"given":"Zhiguo","family":"Gong","sequence":"additional","affiliation":[{"name":"University of Macau, Macau SAR, Macao"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,12]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Learning on Graphs Conference, LoG 2022","volume":"198","author":"Arnaiz-Rodr\u00edguez Adri\u00e1n","year":"2022","unstructured":"Adri\u00e1n Arnaiz-Rodr\u00edguez, Ahmed Begga, Francisco Escolano, and Nuria Oliver. 2022. DiffWire: Inductive Graph Rewiring via the Lov\u00e1sz Bound. In Learning on Graphs Conference, LoG 2022, 9-12 December 2022, Virtual Event, Vol. 198. PMLR, 15. https:\/\/proceedings.mlr.press\/v198\/arnaiz-rodri-guez22a.html"},{"key":"e_1_3_2_1_2_1","volume-title":"Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263","author":"van den Berg Rianne","year":"2017","unstructured":"Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017)."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning, ICML 2019","volume":"704","author":"Bojchevski Aleksandar","year":"2019","unstructured":"Aleksandar Bojchevski and Stephan G\u00fcnnemann. 2019. Adversarial Attacks on Node Embeddings via Graph Poisoning. In Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA (Proceedings of Machine Learning Research, Vol. 97), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 695-704. http:\/\/proceedings.mlr.press\/v97\/bojchevski19a.html"},{"key":"e_1_3_2_1_4_1","volume-title":"LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. In The Eleventh International Conference on Learning Representations, ICLR 2023","author":"Cai Xuheng","year":"2023","unstructured":"Xuheng Cai, Chao Huang, Lianghao Xia, and Xubin Ren. 2023. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023. OpenReview.net. https:\/\/openreview.net\/forum?id=FKXVK9dyMM"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/73007.73062"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080797"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591645"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482449"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0937490100"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/568547.568553"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5948\/UPO9781614440222"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_13_1","volume-title":"Algebraic connectivity of graphs. Czechoslovak mathematical journal","author":"Fiedler Miroslav","year":"1973","unstructured":"Miroslav Fiedler. 1973. Algebraic connectivity of graphs. Czechoslovak mathematical journal, Vol. 23, 2 (1973), 298-305."},{"key":"e_1_3_2_1_14_1","unstructured":"Aric Hagberg Pieter J Swart and Daniel A Schult. 2007. Exploring network structure dynamics and function using NetworkX. Technical Report. Los Alamos National Laboratory (LANL)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294869"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2827872"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the 38th International Conference on Neural Information Processing Systems","author":"Jamadandi Adarsh","year":"2024","unstructured":"Adarsh Jamadandi, Celia Rubio-Madrigal, and Rebekka Burkholz. 2024. Spectral graph pruning against over-squashing and over-smoothing. In Proceedings of the 38th International Conference on Neural Information Processing Systems (Vancouver, BC, Canada) (NIPS '24). Curran Associates Inc., Article 331, 32 pages."},{"key":"e_1_3_2_1_22_1","volume-title":"Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=SJU4ayYgl","author":"Thomas","unstructured":"Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=SJU4ayYgl"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2665063"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449986"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583466"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482291"},{"key":"e_1_3_2_1_29_1","volume-title":"Poincar\u00e9 embeddings for learning hierarchical representations. Advances in neural information processing systems","author":"Nickel Maximillian","year":"2017","unstructured":"Maximillian Nickel and Douwe Kiela. 2017. Poincar\u00e9 embeddings for learning hierarchical representations. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2820126"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671789"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532014"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. 452-461","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. 452-461."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/192844.192905"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482264"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/3008904.3008998"},{"key":"e_1_3_2_1_38_1","unstructured":"G.W. Stewart and J. Sun. 1990. Matrix Perturbation Theory. Elsevier Science. https:\/\/books.google.com\/books?id=bIYEogEACAAJ"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186154"},{"key":"e_1_3_2_1_40_1","volume-title":"Graph Attention Networks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=rJXMpikCZ","author":"Petar","year":"2018","unstructured":"Petar Veli?kovi?, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Li\u00f2, and Yoshua Bengio. 2018. Graph Attention Networks. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=rJXMpikCZ"},{"key":"e_1_3_2_1_41_1","first-page":"2719","volume-title":"IJCAI","volume":"13","author":"Wang Hao","year":"2013","unstructured":"Hao Wang, Binyi Chen, and Wu-Jun Li. 2013. Collaborative topic regression with social regularization for tag recommendation.. In IJCAI, Vol. 13. 2719-2725."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3463913","article-title":"Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation","volume":"40","author":"Wang Hao","year":"2021","unstructured":"Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, and Enhong Chen. 2021. Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation. ACM Transactions on Information Systems (TOIS), Vol. 40, 2 (2021), 1-28.","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.2307\/1970008"},{"key":"e_1_3_2_1_45_1","volume-title":"The Collected Works of Eugene Paul Wigner: Part A: The Scientific Papers","author":"Wigner Eugene P","unstructured":"Eugene P Wigner. 1993. Characteristic vectors of bordered matrices with infinite dimensions i. In The Collected Works of Eugene Paul Wigner: Part A: The Scientific Papers. Springer, 524-540."},{"key":"e_1_3_2_1_46_1","first-page":"6861","volume-title":"Proceedings of the 36th International Conference on Machine Learning","volume":"97","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 Proceedings of the 36th International Conference on Machine Learning, Vol. 97. PMLR, 6861-6871. https:\/\/proceedings.mlr.press\/v97\/wu19e.html"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835837"},{"key":"e_1_3_2_1_49_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=ryGs6iA5Km","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. https:\/\/openreview.net\/forum?id=ryGs6iA5Km"},{"key":"e_1_3_2_1_50_1","first-page":"1446","volume-title":"Graph Neural Controlled Differential Equations For Collaborative Filtering. In Companion Proceedings of the ACM on Web Conference","author":"Xu Ke","year":"2025","unstructured":"Ke Xu, Weizhi Zhang, Zihe Song, Yuanjie Zhu, and Philip S Yu. 2025. Graph Neural Controlled Differential Equations For Collaborative Filtering. In Companion Proceedings of the ACM on Web Conference 2025. 1446-1449."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481952"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_1_53_1","first-page":"913","article-title":"XSimGCL: Towards extremely simple graph contrastive learning for recommendation","volume":"36","author":"Yu Junliang","year":"2023","unstructured":"Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, and Hongzhi Yin. 2023. XSimGCL: Towards extremely simple graph contrastive learning for recommendation. IEEE Transactions on Knowledge and Data Engineering, Vol. 36, 2 (2023), 913-926.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_54_1","volume-title":"Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval. 1294-1303","author":"Yu Junliang","year":"2022","unstructured":"Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Lizhen Cui, and Quoc Viet Hung Nguyen. 2022a. Are graph augmentations necessary? simple graph contrastive learning for recommendation. In Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval. 1294-1303."},{"key":"e_1_3_2_1_55_1","volume-title":"International conference on machine learning. PMLR, 10936-10945","author":"Yu Wenhui","year":"2020","unstructured":"Wenhui Yu and Zheng Qin. 2020. Graph convolutional network for recommendation with low-pass collaborative filters. In International conference on machine learning. PMLR, 10936-10945."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20878"},{"key":"e_1_3_2_1_57_1","first-page":"20321","article-title":"Node dependent local smoothing for scalable graph learning","volume":"34","author":"Zhang Wentao","year":"2021","unstructured":"Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, and Bin Cui. 2021. Node dependent local smoothing for scalable graph learning. Advances in Neural Information Processing Systems, Vol. 34 (2021), 20321-20332.","journal-title":"Advances in Neural Information Processing Systems"}],"event":{"name":"WWW '26: The ACM Web Conference 2026","location":"Dubai United Arab Emirates","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2026"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3774904.3792081","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T07:18:26Z","timestamp":1783149506000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3774904.3792081"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,12]]},"references-count":57,"alternative-id":["10.1145\/3774904.3792081","10.1145\/3774904"],"URL":"https:\/\/doi.org\/10.1145\/3774904.3792081","relation":{},"subject":[],"published":{"date-parts":[[2026,4,12]]},"assertion":[{"value":"2026-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}