{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:09:32Z","timestamp":1775912972014,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP22010371,LE220100078"],"award-info":[{"award-number":["DP22010371,LE220100078"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,2,27]]},"DOI":"10.1145\/3539597.3570451","type":"proceedings-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T23:27:00Z","timestamp":1677108420000},"page":"60-68","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":25,"title":["Simplifying Graph-based Collaborative Filtering for Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4637-8733","authenticated-orcid":false,"given":"Li","family":"He","sequence":"first","affiliation":[{"name":"University of Technology Sydney, Sydney, NSW, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9582-3445","authenticated-orcid":false,"given":"Xianzhi","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, NSW, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6880-7869","authenticated-orcid":false,"given":"Dingxian","family":"Wang","sequence":"additional","affiliation":[{"name":"eBay Research America, Seattle, WA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5992-7551","authenticated-orcid":false,"given":"Haoyuan","family":"Zou","sequence":"additional","affiliation":[{"name":"Meta Inc., San Diego, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1395-261X","authenticated-orcid":false,"given":"Hongzhi","family":"Yin","sequence":"additional","affiliation":[{"name":"The University of Queensland, Brisbane, QLD, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4493-6663","authenticated-orcid":false,"given":"Guandong","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, NSW, Australia"}]}],"member":"320","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"e_1_3_2_2_1_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_2_2_1","volume-title":"Recent advances in graph partitioning. Algorithm engineering","author":"Bulucc Aydin","year":"2016","unstructured":"Aydin Bulucc, Henning Meyerhenke, Ilya Safro, Peter Sanders, and Christian Schulz. 2016. Recent advances in graph partitioning. Algorithm engineering (2016), 117--158."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"e_1_3_2_2_4_1","volume-title":"International conference on machine learning. PMLR, 1106--1114","author":"Dai Hanjun","year":"2018","unstructured":"Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alex Smola, and Le Song. 2018. Learning steady-states of iterative algorithms over graphs. In International conference on machine learning. PMLR, 1106--1114."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Jingtao Ding Yuhan Quan Xiangnan He Yong Li and Depeng Jin. 2019. Reinforced Negative Sampling for Recommendation with Exposure Data.. In IJCAI. 2230--2236.","DOI":"10.24963\/ijcai.2019\/309"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_2_7_1","first-page":"11984","article-title":"Implicit graph neural networks","volume":"33","author":"Gu Fangda","year":"2020","unstructured":"Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, and Laurent El Ghaoui. 2020. Implicit graph neural networks. Advances in Neural Information Processing Systems, Vol. 33 (2020), 11984--11995.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298642"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482327"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3481979"},{"key":"e_1_3_2_2_11_1","volume-title":"Online Spam Review Detection: A Survey of Literature. Human-Centric Intelligent Systems","author":"He Li","year":"2022","unstructured":"Li He, Xianzhi Wang, Hongxu Chen, and Guandong Xu. 2022a. Online Spam Review Detection: A Survey of Literature. Human-Centric Intelligent Systems (2022), 1--17."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3189813"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052639"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_39"},{"key":"e_1_3_2_2_17_1","volume-title":"ACM Transactions on Information Systems (TOIS)","volume":"20","author":"Jaana Kalervo","year":"2002","unstructured":"Kalervo J\"arvelin and Jaana Kek\"al\"ainen. 2002. Cumulated gain-based evaluation of IR techniques. ACM Transactions on Information Systems (TOIS), Vol. 20, 4 (2002), 422--446."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827595287997"},{"key":"e_1_3_2_2_19_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_2_20_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv (2016)."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371781"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557280"},{"key":"e_1_3_2_2_23_1","volume-title":"Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. arXiv preprint arXiv:2007.09036","author":"Liu Qiang","year":"2020","unstructured":"Qiang Liu, Haoli Zhang, and Zhaocheng Liu. 2020. Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. arXiv preprint arXiv:2007.09036 (2020)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959163"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2657752"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403280"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159706"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556248"},{"key":"e_1_3_2_2_30_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618","author":"Rendle Steffen","year":"2012","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618 (2012)."},{"key":"e_1_3_2_2_31_1","volume-title":"NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation. arXiv preprint arXiv:2010.12256","author":"Song Jinbo","year":"2020","unstructured":"Jinbo Song, Chao Chang, Fei Sun, Xinbo Song, and Peng Jiang. 2020. NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation. arXiv preprint arXiv:2010.12256 (2020)."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401123"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401137"},{"key":"e_1_3_2_2_36_1","volume-title":"International conference on machine learning. PMLR, 6861--6871","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, 6861--6871."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_2_2_38_1","volume-title":"DGCF: A Distributed Greedy Clustering Framework for Large-scale Genomic Sequences. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2272--2279","author":"Yin Zekun","year":"2019","unstructured":"Zekun Yin, Xiaoming Xu, Kaichao Fan, Ruilin Li, Weizhong Li, Weiguo Liu, and Beifang Niu. 2019. DGCF: A Distributed Greedy Clustering Framework for Large-scale Genomic Sequences. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2272--2279."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-021-00987-z"}],"event":{"name":"WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining","location":"Singapore Singapore","acronym":"WSDM '23","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570451","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539597.3570451","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:14Z","timestamp":1750186934000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539597.3570451"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,27]]},"references-count":39,"alternative-id":["10.1145\/3539597.3570451","10.1145\/3539597"],"URL":"https:\/\/doi.org\/10.1145\/3539597.3570451","relation":{},"subject":[],"published":{"date-parts":[[2023,2,27]]},"assertion":[{"value":"2023-02-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}