{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T20:51:35Z","timestamp":1778619095638,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Australian Research Council","award":["DP190101087, DP190101985, DP170103954, FT200100825"],"award-info":[{"award-number":["DP190101087, DP190101985, DP170103954, FT200100825"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403201","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:03:53Z","timestamp":1597964633000},"page":"1503-1511","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":126,"title":["Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction"],"prefix":"10.1145","author":[{"given":"Hongxu","family":"Chen","sequence":"first","affiliation":[{"name":"University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongzhi","family":"YIN","sequence":"additional","affiliation":[{"name":"The University of Queensland, Brisbane, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangguo","family":"Sun","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Chen","sequence":"additional","affiliation":[{"name":"The University of Queensland, Brisbane, QLD, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bogdan","family":"Gabrys","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katarzyna","family":"Musial","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2010.79"},{"key":"e_1_3_2_1_2_1","unstructured":"A. Ahmed N. Shervashidze S. Narayanamurthy V. Josifovski and A.J. Smola. Distributed large-scale natural graph factorization. In WWW 13.  A. Ahmed N. Shervashidze S. Narayanamurthy V. Josifovski and A.J. Smola. Distributed large-scale natural graph factorization. In WWW 13."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.135"},{"key":"e_1_3_2_1_4_1","author":"Blondel V.D.","year":"2008","unstructured":"V.D. Blondel , J.L. Guillaume , R. Lambiotte , and E. Lefebvre . Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment , 2008 . V.D. Blondel, J.L. Guillaume, R. Lambiotte, and E. Lefebvre. Fast unfolding of communities in large networks. Journal of statistical mechanics: theory and experiment, 2008.","journal-title":"Journal of statistical mechanics: theory and experiment"},{"key":"e_1_3_2_1_5_1","volume-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer","author":"Bass X. Caoand Y. Yu.","year":"2016","unstructured":"X. Caoand Y. Yu. Bass : A boot strapping approach for aligning heterogenous social networks . In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer , 2016 . X. Caoand Y. Yu. Bass: A boot strapping approach for aligning heterogenous social networks. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 2016."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00059"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219986"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00125"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401042"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2018.00101"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/298"},{"key":"e_1_3_2_1_12_1","volume-title":"NIPS","author":"Defferrard M.","year":"2016","unstructured":"M. Defferrard , X. Bresson , and P. Vandergheynst . Convolutional neural networks on graphs with fast localized spectral filtering . In NIPS , 2016 . M. Defferrard, X. Bresson, and P. Vandergheynst. Convolutional neural networks on graphs with fast localized spectral filtering. In NIPS, 2016."},{"key":"e_1_3_2_1_13_1","author":"Faisal F.E.","year":"2014","unstructured":"F.E. Faisal , H. Zhao , and T. Milenkovic . Global network alignment in the context of aging. Transactions on Computational Biology and Bioinformatics , 2014 . F.E. Faisal, H. Zhao, and T. Milenkovic. Global network alignment in the context of aging. Transactions on Computational Biology and Bioinformatics, 2014.","journal-title":"Global network alignment in the context of aging. Transactions on Computational Biology and Bioinformatics"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788601"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_17_1","volume-title":"NIPS","author":"Hamilton W.","year":"2017","unstructured":"W. Hamilton , Z. Ying , and J. Leskovec . Inductive representation learning on large graphs . In NIPS , 2017 . W. Hamilton, Z. Ying, and J. Leskovec. Inductive representation learning on large graphs. In NIPS, 2017."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271788"},{"key":"e_1_3_2_1_19_1","volume-title":"AAAI Conference on Weblogs and Social Media","author":"Iofciu T.","year":"2011","unstructured":"T. Iofciu , P. Fankhauser , F. Abel , and K. Bischoff . Identifying users across social tagging systems . In AAAI Conference on Weblogs and Social Media , 2011 . T. Iofciu, P. Fankhauser, F. Abel, and K. Bischoff. Identifying users across social tagging systems. In AAAI Conference on Weblogs and Social Media, 2011."},{"key":"e_1_3_2_1_20_1","first-page":"2635","volume-title":"IJCAI","author":"Jiang J.","year":"2019","unstructured":"J. Jiang , Y. Wei , Y. Feng , J. Cao , and Y. Gao . Dynamic hyper graph neural networks . In IJCAI , pages 2635 -- 2641 , 2019 . J. Jiang, Y. Wei, Y. Feng, J. Cao, and Y. Gao. Dynamic hyper graph neural networks. In IJCAI, pages 2635--2641, 2019."},{"key":"e_1_3_2_1_21_1","volume-title":"ICLR","author":"Kipf T.N.","year":"2017","unstructured":"T.N. Kipf and M. Welling . Semi-supervised classification with graph convolutional networks . ICLR , 2017 . T.N. Kipf and M. Welling. Semi-supervised classification with graph convolutional networks. ICLR, 2017."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433457"},{"key":"e_1_3_2_1_23_1","first-page":"1774","volume-title":"Ijcai","author":"Liu L.","year":"2016","unstructured":"L. Liu , W.K. Cheung , X. Li , and L. Liao . Aligning users across social networks using network embedding . In Ijcai , pages 1774 -- 1780 , 2016 . L. Liu, W.K. Cheung, X. Li, and L. Liao. Aligning users across social networks using network embedding. In Ijcai, pages 1774--1780, 2016."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2012.184"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806503"},{"key":"e_1_3_2_1_26_1","volume-title":"IJCAI","author":"Man T.","year":"2016","unstructured":"T. Man , H. Shen , S. Liu , X. Jin , and X. Cheng . Predict anchor links across social networks via an embedding approach . In IJCAI , 2016 . T. Man, H. Shen, S. Liu, X. Jin, and X. Cheng. Predict anchor links across social networks via an embedding approach. In IJCAI, 2016."},{"key":"e_1_3_2_1_27_1","volume-title":"WWW","author":"Kazienko K.","year":"2013","unstructured":"K. Musia? and P. Kazienko . Social networks on the internet . WWW , 2013 . K. Musia? and P. Kazienko. Social networks on the internet. WWW, 2013."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2009.22"},{"key":"e_1_3_2_1_29_1","volume-title":"NIPS","author":"Ng A.Y.","year":"2002","unstructured":"A.Y. Ng , M.I. Jordan , and Y. Weiss . On spectral clustering: Analysis and an algorithm . In NIPS , 2002 . A.Y. Ng, M.I. Jordan, and Y. Weiss. On spectral clustering: Analysis and an algorithm. In NIPS, 2002."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883002"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358023"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0806627105"},{"key":"e_1_3_2_1_34_1","volume-title":"AAAI","author":"Tan S.","year":"2014","unstructured":"S. Tan , Z. Guan , D. Cai , X. Qin , J. Bu , and C. Chen . Mapping users across networks by manifold alignment on hypergraph . In AAAI , 2014 . S. Tan, Z. Guan, D. Cai, X. Qin, J. Bu, and C. Chen. Mapping users across networks by manifold alignment on hypergraph. In AAAI, 2014."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339574"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112883"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331258"},{"key":"e_1_3_2_1_39_1","volume-title":"NIPS","author":"Yadati N.","year":"2019","unstructured":"N. Yadati , M. Nimishakavi , P. Yadav , V. Nitin , A. Louis , and P. Talukdar . Hyper-gcn: A new method for training graph convolutional networks on hypergraphs . In NIPS , 2019 . N. Yadati, M. Nimishakavi, P. Yadav, V. Nitin, A. Louis, and P. Talukdar. Hyper-gcn: A new method for training graph convolutional networks on hypergraphs. In NIPS, 2019."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00057"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2018.00088"},{"key":"e_1_3_2_1_42_1","volume-title":"AAAI","author":"Zhang J.","year":"2015","unstructured":"J. Zhang and S.Y. Philip . Integrated anchor and social link predictions across social networks . In AAAI , 2015 . J. Zhang and S.Y. Philip. Integrated anchor and social link predictions across social networks. In AAAI, 2015."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939766"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783268"},{"key":"e_1_3_2_1_45_1","volume-title":"Deeplink: A deep learning approach for user identity linkage","author":"Zhou F.","year":"2018","unstructured":"F. Zhou , L. Liu , K. Zhang , G. Trajcevski , J. Wu , and T. Zhong . Deeplink: A deep learning approach for user identity linkage . In IEEE INFOCOM. IEEE , 2018 . F. Zhou, L. Liu, K. Zhang, G. Trajcevski, J. Wu, and T. Zhong. Deeplink: A deep learning approach for user identity linkage. In IEEE INFOCOM. IEEE, 2018."},{"key":"e_1_3_2_1_46_1","volume-title":"TKDE","author":"Zhou X.","year":"2015","unstructured":"X. Zhou , X. Liang , H. Zhang , and Y. Ma . Cross-platform identification of anonymous identical users in multiple social media networks . TKDE , 2015 . X. Zhou, X. Liang, H. Zhang, and Y. Ma. Cross-platform identification of anonymous identical users in multiple social media networks. TKDE, 2015."},{"key":"e_1_3_2_1_47_1","volume-title":"Multidimensional scaling(mds)","author":"Zlatkov L.","year":"1978","unstructured":"L. Zlatkov . Multidimensional scaling(mds) . 1978 . L. Zlatkov. Multidimensional scaling(mds). 1978."}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403201","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403201","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:46Z","timestamp":1750197706000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403201"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":47,"alternative-id":["10.1145\/3394486.3403201","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403201","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}