{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T22:51:55Z","timestamp":1753051915059,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2018AAA0100204"],"award-info":[{"award-number":["No. 2018AAA0100204"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research Impact Fund (RIF)","award":["R5034-18"],"award-info":[{"award-number":["R5034-18"]}]},{"name":"CUHK","award":["2410021"],"award-info":[{"award-number":["2410021"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482391","type":"proceedings-article","created":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T18:33:14Z","timestamp":1635618794000},"page":"1723-1733","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Semi-supervised Multi-label Learning for Graph-structured Data"],"prefix":"10.1145","author":[{"given":"Zixing","family":"Song","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong, Sha Tin, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqiao","family":"Meng","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Sha Tin, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifei","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Sha Tin, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irwin","family":"King","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Sha Tin, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"volume-title":"Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification","author":"Akujuobi Uchenna","key":"e_1_3_2_2_1_1","unstructured":"Uchenna Akujuobi , Yufei Han , Qiannan Zhang , and Xiangliang Zhang . 2019. Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification . In ICDM. IEEE , 1--10. Uchenna Akujuobi, Yufei Han, Qiannan Zhang, and Xiangliang Zhang. 2019. Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. In ICDM. IEEE, 1--10."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.03.009"},{"key":"e_1_3_2_2_3_1","volume-title":"Michael S. Livstone, Rose Oughtred, Daniel H. Lackner, J\u00fcrg B\u00e4hler, Valerie Wood, Kara Dolinski, and Mike Tyers.","author":"Breitkreutz Bobby-Joe","year":"2008","unstructured":"Bobby-Joe Breitkreutz , Chris Stark , Teresa Reguly , Lorrie Boucher , Ashton Bre- itkreutz , Michael S. Livstone, Rose Oughtred, Daniel H. Lackner, J\u00fcrg B\u00e4hler, Valerie Wood, Kara Dolinski, and Mike Tyers. 2008 . The BioGRID Interaction Database: 2008 update. Nucleic Acids Res. 36, Database-Issue ( 2008), 637--640. Bobby-Joe Breitkreutz, Chris Stark, Teresa Reguly, Lorrie Boucher, Ashton Bre- itkreutz, Michael S. Livstone, Rose Oughtred, Daniel H. Lackner, J\u00fcrg B\u00e4hler, Valerie Wood, Kara Dolinski, and Mike Tyers. 2008. The BioGRID Interaction Database: 2008 update. Nucleic Acids Res. 36, Database-Issue (2008), 637--640."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132925"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2849727"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441810"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248548"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2869476"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34223-4_35"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294869"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/2567709.2502622"},{"key":"e_1_3_2_2_13_1","volume-title":"Benson","author":"Huang Qian","year":"2021","unstructured":"Qian Huang , Horace He , Abhay Singh , Ser-Nam Lim , and Austin R . Benson . 2021 . Combining Label Propagation and Simple Models out-performs Graph Neural Networks. In ICLR. OpenReview .net. Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, and Austin R. Benson. 2021. Combining Label Propagation and Simple Models out-performs Graph Neural Networks. In ICLR. OpenReview.net."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553432"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412040"},{"key":"e_1_3_2_2_16_1","volume-title":"Kingma and Max Welling","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Max Welling . 2014 . Auto-Encoding Variational Bayes. In ICLR. Diederik P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In ICLR."},{"key":"e_1_3_2_2_17_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 (Poster). OpenReview .net. Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR (Poster). OpenReview.net."},{"key":"e_1_3_2_2_18_1","unstructured":"M. Mahoney. 2011. Large text compression benchmark. http:\/\/www. mattmahoney.net\/dc\/textdata  M. Mahoney. 2011. Large text compression benchmark. http:\/\/www. mattmahoney.net\/dc\/textdata"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.08.007"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107526"},{"volume-title":"ECML\/PKDD (2) (Lecture Notes in Computer Science","author":"Read Jesse","key":"e_1_3_2_2_23_1","unstructured":"Jesse Read , Bernhard Pfahringer , Geoffrey Holmes , and Eibe Frank . 2009. Clas- sifier Chains for Multi-label Classification . In ECML\/PKDD (2) (Lecture Notes in Computer Science , Vol. 5782). Springer, 254-- 269 . Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, and Eibe Frank. 2009. Clas- sifier Chains for Multi-label Classification. In ECML\/PKDD (2) (Lecture Notes in Computer Science, Vol. 5782). Springer, 254--269."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/3044805.3045035"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3424672"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2995483"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2945869"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2020.3019478"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/214"},{"key":"e_1_3_2_2_30_1","volume-title":"Graph-based Semi- supervised Learning: A Comprehensive Review. CoRR abs\/2102.13303","author":"Song Zixing","year":"2021","unstructured":"Zixing Song , Xiangli Yang , Zenglin Xu , and Irwin King . 2021. Graph-based Semi- supervised Learning: A Comprehensive Review. CoRR abs\/2102.13303 ( 2021 ). arXiv:2102.13303 https:\/\/arxiv.org\/abs\/2102.13303 Zixing Song, Xiangli Yang, Zenglin Xu, and Irwin King. 2021. Graph-based Semi- supervised Learning: A Comprehensive Review. CoRR abs\/2102.13303 (2021). arXiv:2102.13303 https:\/\/arxiv.org\/abs\/2102.13303"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3454334"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3385415"},{"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\/1557019.1557109"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646094"},{"key":"e_1_3_2_2_36_1","article-title":"Visualizing data using t-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of machine learning research 9 , 11 (2008). Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 9, 11 (2008).","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_37_1","unstructured":"Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR (Poster). OpenReview.net.  Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR (Poster). OpenReview.net."},{"key":"e_1_3_2_2_38_1","unstructured":"Wei Wang and Min-Ling Zhang. 2020. Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization. In NeurIPS.  Wei Wang and Min-Ling Zhang. 2020. Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization. In NeurIPS."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487610"},{"key":"e_1_3_2_2_40_1","volume-title":"Semisupervised multi-label collective classification ensemble for functional genomics. BMC genomics 15, 9","author":"Wu Qingyao","year":"2014","unstructured":"Qingyao Wu , Yunming Ye , Shen-Shyang Ho , and Shuigeng Zhou . 2014. Semisupervised multi-label collective classification ensemble for functional genomics. BMC genomics 15, 9 ( 2014 ), 1--14. Qingyao Wu, Yunming Ye, Shen-Shyang Ho, and Shuigeng Zhou. 2014. Semisupervised multi-label collective classification ensemble for functional genomics. BMC genomics 15, 9 (2014), 1--14."},{"volume-title":"Partial Multi-Label Learning","author":"Xie Ming-Kun","key":"e_1_3_2_2_41_1","unstructured":"Ming-Kun Xie and Sheng-Jun Huang . 2018. Partial Multi-Label Learning . In AAAI. AAAI Press , 4302--4309. Ming-Kun Xie and Sheng-Jun Huang. 2018. Partial Multi-Label Learning. In AAAI. AAAI Press, 4302--4309."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271760"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00082"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467422"},{"key":"e_1_3_2_2_45_1","volume-title":"A Survey on Deep Semi-supervised Learning. CoRR abs\/2103.00550","author":"Yang Xiangli","year":"2021","unstructured":"Xiangli Yang , Zixing Song , Irwin King , and Zenglin Xu. 2021. A Survey on Deep Semi-supervised Learning. CoRR abs\/2103.00550 ( 2021 ). arXiv:2103.00550 https:\/\/arxiv.org\/abs\/2103.00550 Xiangli Yang, Zixing Song, Irwin King, and Zenglin Xu. 2021. A Survey on Deep Semi-supervised Learning. CoRR abs\/2103.00550 (2021). arXiv:2103.00550 https:\/\/arxiv.org\/abs\/2103.00550"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298483.3298647"},{"key":"e_1_3_2_2_47_1","first-page":"2083","article-title":"Multi-Label Truth Inference for Crowdsourcing Using Mixture Models","volume":"33","author":"Zhang Jing","year":"2021","unstructured":"Jing Zhang and Xindong Wu . 2021 . Multi-Label Truth Inference for Crowdsourcing Using Mixture Models . IEEE Trans. Knowl. Data Eng. 33 , 5 (2021), 2083 -- 2095 . Jing Zhang and Xindong Wu. 2021. Multi-Label Truth Inference for Crowdsourcing Using Mixture Models. IEEE Trans. Knowl. Data Eng. 33, 5 (2021), 2083--2095.","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.39"},{"key":"#cr-split#-e_1_3_2_2_50_1.1","doi-asserted-by":"crossref","unstructured":"M. L. Zhang Y. K. Li H. Yang and X. Y. Liu. 2020. Towards Class-Imbalance Aware Multi-Label Learning. IEEE Transactions on Cybernetics (2020) 1--13. https:\/\/doi.org\/10.1109\/TCYB.2020.3027509 10.1109\/TCYB.2020.3027509","DOI":"10.1109\/TCYB.2020.3027509"},{"key":"#cr-split#-e_1_3_2_2_50_1.2","doi-asserted-by":"crossref","unstructured":"M. L. Zhang Y. K. Li H. Yang and X. Y. Liu. 2020. Towards Class-Imbalance Aware Multi-Label Learning. IEEE Transactions on Cybernetics (2020) 1--13. https:\/\/doi.org\/10.1109\/TCYB.2020.3027509","DOI":"10.1109\/TCYB.2020.3027509"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115063"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.5555\/3041838.3041953"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2785795"}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Queensland Australia","acronym":"CIKM '21"},"container-title":["Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482391","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482391","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:23Z","timestamp":1750191143000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482391"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":54,"alternative-id":["10.1145\/3459637.3482391","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482391","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}