{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T15:35:39Z","timestamp":1784388939268,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":58,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591707","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"362-371","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":34,"title":["Knowledge-refined Denoising Network for Robust Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3711-8079","authenticated-orcid":false,"given":"Xinjun","family":"Zhu","sequence":"first","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1206-340X","authenticated-orcid":false,"given":"Yuntao","family":"Du","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0550-3072","authenticated-orcid":false,"given":"Yuren","family":"Mao","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5685-7017","authenticated-orcid":false,"given":"Lu","family":"Chen","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1869-5756","authenticated-orcid":false,"given":"Yujia","family":"Hu","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3816-8450","authenticated-orcid":false,"given":"Yunjun","family":"Gao","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3390\/a11090137"},{"key":"e_1_3_2_1_2_1","volume-title":"Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432","author":"Bengio Yoshua","year":"2013","unstructured":"Yoshua Bengio, Nicholas L\u00e9onard, and Aaron Courville. 2013. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv preprint arXiv:1308.3432 (2013)."},{"key":"e_1_3_2_1_3_1","volume-title":"Zikun hu, and Tat-Seng Chua","author":"Cao Yixin","year":"2019","unstructured":"Yixin Cao, Xiang Wang, Xiangnan He, Zikun hu, and Tat-Seng Chua. 2019. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. In WWW. 151--161."},{"key":"e_1_3_2_1_4_1","volume-title":"Fei Wang, and Hao Yang.","author":"Chen Huiyuan","year":"2021","unstructured":"Huiyuan Chen, Lan Wang, Yusan Lin, Chin-Chia Michael Yeh, Fei Wang, and Hao Yang. 2021. Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems. In SIGIR. 614--623."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Wen Chen Pipei Huang Jiaming Xu Xin Guo Cheng Guo Fei Sun Chao Li Andreas Pfadler Huan Zhao and Binqiang Zhao. 2019. POG: personalized outfit generation for fashion recommendation at Alibaba iFashion. In KDD. 2662--2670.","DOI":"10.1145\/3292500.3330652"},{"key":"e_1_3_2_1_6_1","unstructured":"Zhe Dong Andriy Mnih and George Tucker. 2020. DisARM: An Antithetic Gradient Estimator for Binary Latent Variables. In NeurIPS. 18637--18647."},{"key":"e_1_3_2_1_7_1","unstructured":"Yuntao Du Jianxun Lian Jing Yao Xiting Wang Mingqi Wu Lu Chen Yunjun Gao and Xing Xie. 2023. Towards Explainable Collaborative Filtering with Taste Clusters Learning. In WWW."},{"key":"e_1_3_2_1_8_1","volume-title":"MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE","author":"Du Yuntao","year":"2022","unstructured":"Yuntao Du, Xinjun Zhu, Lu Chen, Ziquan Fang, and Yunjun Gao. 2022a. MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation. TKDE (2022)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531987"},{"key":"e_1_3_2_1_10_1","volume-title":"ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. In SIGIR. 2231--2240.","author":"Feng Yufei","year":"2020","unstructured":"Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, and Wenwu Ou. 2020. ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. In SIGIR. 2231--2240."},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of KDD Cup","author":"Gantner Zeno","year":"2012","unstructured":"Zeno Gantner, Lucas Drumond, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2012. Personalized ranking for non-uniformly sampled items. In Proceedings of KDD Cup 2011. PMLR, 231--247."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Yunjun Gao Yuntao Du Yujia Hu Lu Chen Xinjun Zhu Ziquan Fang and Baihua Zheng. 2022. Self-Guided Learning to Denoise for Robust Recommendation. In SIGIR. 1412--1422.","DOI":"10.1145\/3477495.3532059"},{"key":"e_1_3_2_1_13_1","volume-title":"International Conference on Artificial Intelligence and Statistics.","author":"Glorot Xavier","year":"2010","unstructured":"Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In International Conference on Artificial Intelligence and Statistics."},{"key":"e_1_3_2_1_14_1","unstructured":"William L. Hamilton Rex Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In NeurIPS. 1025--1035."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Kuan Deng Xiang Wang Yan Li YongDong Zhang and Meng Wang. 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR. 639--648.","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_16_1","volume-title":"Wayne Xin Zhao, and Philip S. Yu","author":"Hu Binbin","year":"2018","unstructured":"Binbin Hu, Chuan Shi, Wayne Xin Zhao, and Philip S. Yu. 2018. Leveraging Meta-Path Based Context for Top- N Recommendation with A Neural Co-Attention Model. In KDD. 1531--1540."},{"key":"e_1_3_2_1_17_1","unstructured":"Yifan Hu Yehuda Koren and Chris Volinsky. 2008. Collaborative Filtering for Implicit Feedback Datasets. In ICDM. 263--272."},{"key":"e_1_3_2_1_18_1","unstructured":"Eric Jang Shixiang Gu and Ben Poole. 2017. Categorical reparameterization with gumbel-softmax. In ICLR."},{"key":"e_1_3_2_1_19_1","volume-title":"Smola","author":"Jin Jiarui","year":"2020","unstructured":"Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, and Alexander J. Smola. 2020. An Efficient Neighborhood-Based Interaction Model for Recommendation on Heterogeneous Graph. In KDD. 75--84."},{"key":"e_1_3_2_1_20_1","volume-title":"Saul","author":"Jordan Michael I.","year":"1999","unstructured":"Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, and Lawrence K. Saul. 1999. An Introduction to Variational Methods for Graphical Models. Machine learning, Vol. 2, 37 (1999), 183--233."},{"key":"e_1_3_2_1_21_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. In ICLR."},{"key":"e_1_3_2_1_22_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."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren. 2008. Factorization Meets the Neighborhood: A Multifaceted Collaborative Filtering Model. In KDD. 426--434.","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_24_1","unstructured":"Yankai Lin Zhiyuan Liu Maosong Sun Yang Liu and Xuan Zhu. 2015. Learning Entity and Relation Embeddings for Knowledge Graph Completion. In AAAI. 2181--2187."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Zihan Lin Changxin Tian Yupeng Hou and Wayne Xin Zhao. 2022. Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. In WWW. 2320--2329.","DOI":"10.1145\/3485447.3512104"},{"key":"e_1_3_2_1_26_1","unstructured":"Christos Louizos Max Welling and Diederik P Kingma. 2017. Learning sparse neural networks through L_0 regularization. In ICLR."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Yuanfu Lu Yuan Fang and Chuan Shi. 2020. Meta-Learning on Heterogeneous Information Networks for Cold-Start Recommendation. In KDD. 1563--1573.","DOI":"10.1145\/3394486.3403207"},{"key":"e_1_3_2_1_28_1","unstructured":"Jianxin Ma Peng Cui Kun Kuang Xin Wang and Wenwu Zhu. 2019. Disentangled graph convolutional networks. In ICML. PMLR 4212--4221."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao and Xiuqiang He. 2021. SimpleX: A Simple and Strong Baseline for Collaborative Filtering. In CIKM. 1243--1252.","DOI":"10.1145\/3459637.3482297"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Yuqi Qin Pengfei Wang and Chenliang Li. 2021. The world is binary: Contrastive learning for denoising next basket recommendation. In SIGIR. 859--868.","DOI":"10.1145\/3404835.3462836"},{"key":"e_1_3_2_1_31_1","volume-title":"BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI. 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 UAI. 452--461."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Changxin Tian Yuexiang Xie Yaliang Li Nan Yang and Wayne Xin Zhao. 2022. Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. In SIGIR. 122--132.","DOI":"10.1145\/3477495.3531889"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Ke Tu Peng Cui Daixin Wang Zhiqiang Zhang Jun Zhou Yuan Qi and Wenwu Zhu. 2021. Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. In CIKM. 1834--1843.","DOI":"10.1145\/3459637.3482331"},{"key":"e_1_3_2_1_34_1","unstructured":"Petar Veli\u010dkovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Fuzheng Zhang Jialin Wang Miao Zhao Wenjie Li Xing Xie and Minyi Guo. 2018a. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. In CIKM. 417--426.","DOI":"10.1145\/3269206.3271739"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186175"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Fuzheng Zhang Mengdi Zhang Jure Leskovec Miao Zhao Wenjie Li and Zhongyuan Wang. 2019d. Knowledge-Aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. In KDD. 968--977.","DOI":"10.1145\/3292500.3330836"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Miao Zhao Xing Xie Wenjie Li and Minyi Guo. 2019 e. Knowledge Graph Convolutional Networks for Recommender Systems. In WWW. 3307--3313.","DOI":"10.1145\/3308558.3313417"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Wenjie Wang Fuli Feng Xiangnan He Liqiang Nie and Tat-Seng Chua. 2021a. Denoising implicit feedback for recommendation. In WSDM. 373--381.","DOI":"10.1145\/3437963.3441800"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330989"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019b. Neural Graph Collaborative Filtering. In SIGIR. 165--174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He and Tat-Seng Chua. 2021b. Learning Intents behind Interactions with Knowledge Graph for Recommendation. In WWW. 878--887.","DOI":"10.1145\/3442381.3450133"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Dingxian Wang Canran Xu Xiangnan He Yixin Cao and Tat-Seng Chua. 2019c. Explainable Reasoning over Knowledge Graphs for Recommendation. In AAAI. 5329--5336.","DOI":"10.1609\/aaai.v33i01.33015329"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Yu Wang Xin Xin Zaiqiao Meng Joemon M Jose Fuli Feng and Xiangnan He. 2022. Learning Robust Recommenders through Cross-Model Agreement. In WWW. 2015--2025.","DOI":"10.1145\/3485447.3512202"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401141"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","unstructured":"Zitai Wang Qianqian Xu Zhiyong Yang Xiaochun Cao and Qingming Huang. 2021c. Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. In MM. 3070--3078.","DOI":"10.1145\/3474085.3475446"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413556"},{"key":"e_1_3_2_1_48_1","volume-title":"Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning. Machine learning","author":"Williams Ronald J.","year":"1992","unstructured":"Ronald J. Williams. 1992. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning. Machine learning, Vol. 8, 3--4 (1992), 229--256."},{"key":"e_1_3_2_1_49_1","unstructured":"Felix Wu Amauri Souza Tianyi Zhang Christopher Fifty Tao Yu and Kilian Weinberger. 2019. Simplifying Graph Convolutional Networks. In ICML. 6861--6871."},{"key":"e_1_3_2_1_50_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. 726--735.","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_2_1_51_1","volume-title":"Gerard De Melo, and Yongfeng Zhang","author":"Xian Yikun","year":"2019","unstructured":"Yikun Xian, Zuohui Fu, Shan Muthukrishnan, Gerard De Melo, and Yongfeng Zhang. 2019. Reinforcement knowledge graph reasoning for explainable recommendation. In SIGIR. 285--294."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Ruobing Xie Cheng Ling Yalong Wang Rui Wang Feng Xia and Leyu Lin. 2020. Deep Feedback Network for Recommendation.. In IJCAI. 2519--2525.","DOI":"10.24963\/ijcai.2020\/349"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"crossref","unstructured":"Yuhao Yang Chao Huang Lianghao Xia and Chenliang Li. 2022. Knowledge graph contrastive learning for recommendation. In SIGIR. 1434--1443.","DOI":"10.1145\/3477495.3532009"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"crossref","unstructured":"Yonghui Yang Le Wu Richang Hong Kun Zhang and Meng Wang. 2021. Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. In SIGIR. 71--80.","DOI":"10.1145\/3404835.3462928"},{"key":"e_1_3_2_1_55_1","volume-title":"ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks. In ICLR.","author":"Yin Mingzhang","year":"2019","unstructured":"Mingzhang Yin and Mingyuan Zhou. 2019. ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks. In ICLR."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"crossref","unstructured":"Junliang Yu Hongzhi Yin Xin Xia Tong Chen Lizhen Cui and Quoc Viet Hung Nguyen. 2022. Are graph augmentations necessary? simple graph contrastive learning for recommendation. In SIGIR. 1294--1303.","DOI":"10.1145\/3477495.3531937"},{"key":"e_1_3_2_1_57_1","volume-title":"Defu Lian, Xing Xie, and Wei-Ying Ma.","author":"Zhang Fuzheng","year":"2016","unstructured":"Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, and Wei-Ying Ma. 2016. Collaborative Knowledge Base Embedding for Recommender Systems. In KDD. 353--362."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"crossref","unstructured":"Ding Zou Wei Wei Xian-Ling Mao Ziyang Wang Minghui Qiu Feida Zhu and Xin Cao. 2022. Multi-level cross-view contrastive learning for knowledge-aware recommender system. In SIGIR. 1358--1368.","DOI":"10.1145\/3477495.3532025"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591707","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:00Z","timestamp":1750178820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591707"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":58,"alternative-id":["10.1145\/3539618.3591707","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591707","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}