{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T15:53:01Z","timestamp":1792165981090,"version":"4.4.0"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"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":[[2022,4,25]]},"DOI":"10.1145\/3485447.3512003","type":"proceedings-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T05:11:23Z","timestamp":1650863483000},"page":"2830-2838","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":53,"title":["Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network"],"prefix":"10.1145","author":[{"given":"Ye","family":"Tao","sequence":"first","affiliation":[{"name":"School of Software and Microelectronics, Peking University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"Key Lab of High Confidence Software Technologies (MOE) & National Engineering Center of Software Engineering, Peking University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Su","family":"Zhang","sequence":"additional","affiliation":[{"name":"Center for Data Science, Peking University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhirong","family":"Hou","sequence":"additional","affiliation":[{"name":"ICBC Technology Co.,Ltd, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhonghai","family":"Wu","sequence":"additional","affiliation":[{"name":"ey Lab of High Confidence Software Technologies (MOE) & National Engineering Center of Software Engineering, Peking University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,4,25]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Rianne van\u00a0den Berg Thomas\u00a0N Kipf and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263(2017)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.psych.55.090902.142015"},{"key":"e_1_3_2_1_5_1","volume-title":"Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems 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 29 (2016), 3844\u20133852."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12132"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347011"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9153"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Guibing Guo Jie Zhang and Neil Yorke-Smith. 2016. A novel recommendation model regularized with user trust and item ratings. ieee transactions on knowledge and data engineering 28 7(2016) 1607\u20131620.","DOI":"10.1109\/TKDE.2016.2528249"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems. 1025\u20131035","author":"Hamilton L","year":"2017","unstructured":"William\u00a0L Hamilton, Rex Ying, and Jure Leskovec. 2017. Inductive representation learning on large graphs. In Proceedings of the 31st International Conference on Neural Information Processing Systems. 1025\u20131035."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_14_1","unstructured":"Geoffrey Hinton Oriol Vinyals and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531(2015)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2300487"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412005"},{"key":"e_1_3_2_1_17_1","volume-title":"Adam: A Method for Stochastic Optimization. arXiv: Learning","author":"Kingma P","year":"2014","unstructured":"Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. arXiv: Learning (2014)."},{"key":"e_1_3_2_1_18_1","unstructured":"Thomas\u00a0N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907(2016)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449878"},{"key":"e_1_3_2_1_21_1","volume-title":"2019 IEEE International Conference on Data Mining (ICDM). IEEE, 369\u2013378","author":"Choi Minjin","year":"2019","unstructured":"Jae-woong Lee, Minjin Choi, Jongwuk Lee, and Hyunjung Shim. 2019. Collaborative distillation for top-N recommendation. In 2019 IEEE International Conference on Data Mining (ICDM). IEEE, 369\u2013378."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/1571941.1571978"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458205"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935877"},{"key":"e_1_3_2_1_25_1","volume-title":"Birds of a feather: Homophily in social networks. Annual review of sociology 27, 1","author":"McPherson Miller","year":"2001","unstructured":"Miller McPherson, Lynn Smith-Lovin, and James\u00a0M Cook. 2001. Birds of a feather: Homophily in social networks. Annual review of sociology 27, 1 (2001), 415\u2013444."},{"key":"e_1_3_2_1_26_1","unstructured":"Andriy Mnih and Russ\u00a0R Salakhutdinov. 2008. Probabilistic matrix factorization. In Advances in neural information processing systems. 1257\u20131264."},{"key":"e_1_3_2_1_27_1","unstructured":"Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski and Stephan G\u00fcnnemann. 2018. Pitfalls of graph neural network evaluation. arXiv preprint arXiv:1811.05868(2018)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124309"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220021"},{"key":"e_1_3_2_1_30_1","volume-title":"Revisiting Graph Neural Networks for Node Classification in Heterogeneous Graphs. In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1\u20136.","author":"Tao Ye","year":"2021","unstructured":"Ye Tao, Ying Li, and Zhonghai Wu. 2021. Revisiting Graph Neural Networks for Node Classification in Heterogeneous Graphs. In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1\u20136."},{"key":"e_1_3_2_1_31_1","unstructured":"Petar Veli\u010dkovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903(2017)."},{"key":"e_1_3_2_1_32_1","unstructured":"Minjie Wang Lingfan Yu Da Zheng Quan Gan Yu Gai Zihao Ye Mufei Li Jinjing Zhou Qi Huang Chao Ma 2019. Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.(2019)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080771"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401137"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3186904"},{"key":"e_1_3_2_1_37_1","volume-title":"International conference on machine learning. PMLR, 6861\u20136871","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\u20136871."},{"key":"e_1_3_2_1_38_1","volume-title":"A neural influence and interest diffusion network for social recommendation","author":"Wu Le","year":"2020","unstructured":"Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, and Meng Wang. 2020. Diffnet++: A neural influence and interest diffusion network for social recommendation. IEEE Transactions on Knowledge and Data Engineering (2020)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331214"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2872842"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401144"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313442"},{"key":"e_1_3_2_1_43_1","unstructured":"Shiwen Wu Fei Sun Wentao Zhang and Bin Cui. 2020. Graph neural networks in recommender systems: a survey. arXiv preprint arXiv:2011.02260(2020)."},{"key":"e_1_3_2_1_44_1","unstructured":"Keyulu Xu Weihua Hu Jure Leskovec and Stefanie Jegelka. 2018. How powerful are graph neural networks?arXiv preprint arXiv:1810.00826(2018)."},{"key":"e_1_3_2_1_45_1","volume-title":"Social collaborative filtering by trust","author":"Yang Bo","year":"2016","unstructured":"Bo Yang, Yu Lei, Jiming Liu, and Wenjie Li. 2016. Social collaborative filtering by trust. IEEE transactions on pattern analysis and machine intelligence 39, 8(2016), 1633\u20131647."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3033673"}],"event":{"name":"WWW '22: The ACM Web Conference 2022","location":"Virtual Event, Lyon France","acronym":"WWW '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3485447.3512003","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3485447.3512003","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:10Z","timestamp":1750191130000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3485447.3512003"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,25]]},"references-count":47,"alternative-id":["10.1145\/3485447.3512003","10.1145\/3485447"],"URL":"https:\/\/doi.org\/10.1145\/3485447.3512003","relation":{},"subject":[],"published":{"date-parts":[[2022,4,25]]},"assertion":[{"value":"2022-04-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}