{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:00:44Z","timestamp":1772906444847,"version":"3.50.1"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2017,3,1]],"date-time":"2017-03-01T00:00:00Z","timestamp":1488326400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/100007615","name":"Centre of Excellence for Environmental Decisions, Australian Research Council Discovery Projects","doi-asserted-by":"publisher","award":["DP140100545"],"award-info":[{"award-number":["DP140100545"]}],"id":[{"id":"10.13039\/100007615","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007615","name":"Centre of Excellence for Environmental Decisions, Australian Research Council Discovery Projects","doi-asserted-by":"publisher","award":["DP140102206"],"award-info":[{"award-number":["DP140102206"]}],"id":[{"id":"10.13039\/100007615","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007615","name":"Centre of Excellence for Environmental Decisions, Australian Research Council Discovery Projects","doi-asserted-by":"publisher","award":["LP120100566"],"award-info":[{"award-number":["LP120100566"]}],"id":[{"id":"10.13039\/100007615","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1109\/tcyb.2016.2526058","type":"journal-article","created":{"date-parts":[[2016,3,10]],"date-time":"2016-03-10T19:28:40Z","timestamp":1457638120000},"page":"744-758","source":"Crossref","is-referenced-by-count":59,"title":["Task Sensitive Feature Exploration and Learning for Multitask Graph Classification"],"prefix":"10.1109","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0794-527X","authenticated-orcid":false,"given":"Shirui","family":"Pan","sequence":"first","affiliation":[]},{"given":"Jia","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Xingquan","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Guodong","family":"Long","sequence":"additional","affiliation":[]},{"given":"Chengqi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1109\/TCYB.2014.2341031","article-title":"Graph ensemble boosting for imbalanced noisy graph stream classification","volume":"45","author":"pan","year":"2015","journal-title":"IEEE Trans Cybern"},{"key":"ref38","first-page":"729","article-title":"An application of boosting to graph classification","author":"kudo","year":"2004","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646027"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1807167.1807262"},{"key":"ref31","first-page":"1586","article-title":"Graph classification with imbalanced class distributions and noise","author":"pan","year":"2013","journal-title":"Proc IJCAI"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4057.003.0010","article-title":"Kernels for graphs","author":"kashima","year":"2004","journal-title":"Kernel Methods in Computational Biology"},{"key":"ref37","first-page":"721","article-title":"gSpan: Graph-based substructure pattern mining","author":"yan","year":"2002","journal-title":"Proc ICDM"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2009.133"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376662"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806585"},{"key":"ref60","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1007\/978-3-319-10593-2_11","article-title":"Feature disentangling machine—A novel approach of feature selection and disentangling in facial expression analysis","author":"liu","year":"2014","journal-title":"Computer Vision—ECCV 2014"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2157521"},{"key":"ref61","first-page":"2491","article-title":"SimpleMKL","volume":"9","author":"rakotomamonjy","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1137\/0108053"},{"key":"ref28","first-page":"951","article-title":"Exploiting unrelated tasks in multi-task learning","author":"romera-paredes","year":"2012","journal-title":"Proc AI & STAT"},{"key":"ref64","volume":"42","author":"wolsey","year":"1998","journal-title":"Integer Programming"},{"key":"ref27","first-page":"1383","article-title":"Learning task grouping and overlap in multi-task learning","author":"kumar","year":"2012","journal-title":"Proc ICML"},{"key":"ref65","first-page":"1871","article-title":"LIBLINEAR: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.143.1.7063747"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.235"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2233865"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2174\/1573409911309020002"},{"key":"ref20","first-page":"41","article-title":"Multi-task feature learning","volume":"19","author":"evgeniou","year":"2007","journal-title":"Proc NIPS"},{"key":"ref22","first-page":"964","article-title":"A dirty model for multi-task learning","author":"jalali","year":"2010","journal-title":"Proc NIPS"},{"key":"ref21","first-page":"339","article-title":"Multi-task feature learning via efficient l2, 1-norm minimization","author":"liu","year":"2009","journal-title":"Proc UAI"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623641"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339672"},{"key":"ref26","first-page":"49","article-title":"Convex multitask learning with flexible task clusters","author":"zhong","year":"2012","journal-title":"Proc ICML"},{"key":"ref25","first-page":"733","article-title":"A convex formulation for learning task relationships in multi-task learning","author":"zhang","year":"2010","journal-title":"Proc UAI"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-012-0543-4"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.86"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1137\/060677586"},{"key":"ref58","first-page":"1371","article-title":"Towards ultrahigh dimensional feature selection for big data","volume":"15","author":"tan","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref57","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1126\/science.286.5439.531","article-title":"Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring","volume":"286","author":"golub","year":"1999","journal-title":"Science"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.127"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.48"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref52","first-page":"83","article-title":"Task clustering and gating for Bayesian multitask learning","volume":"4","author":"bakker","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972795.92"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835886"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2391115"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835905"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.58"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020511"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.119"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.21333"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2013.01.008"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.235"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487602"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2013.09.006"},{"key":"ref3","first-page":"30","article-title":"Brain network analysis: A data mining perspective","volume":"15","author":"kong","year":"2013","journal-title":"KDD Explorations"},{"key":"ref6","first-page":"2539","article-title":"Weisfeiler-Lehman graph kernels","volume":"12","author":"shervashidze","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2013.16"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-008-5089-z"},{"key":"ref7","first-page":"1201","article-title":"Graph kernels","volume":"11","author":"vishwanathan","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref49","article-title":"MALSAR: Multi-task learning via structural regularization","author":"zhou","year":"2011"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.05.019"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973440.25"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.2297923"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33460-3_50"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014067"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.97"},{"key":"ref41","first-page":"398","article-title":"Graph stream classification using labeled and unlabeled graphs","author":"pan","year":"2013","journal-title":"Proc ICDE"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2327111"},{"key":"ref43","first-page":"3953","article-title":"Multi-graph-view learning for complicated object classification","author":"wu","year":"2015","journal-title":"Proc IJCAI"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/7829491\/07430282.pdf?arnumber=7430282","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T23:03:33Z","timestamp":1718406213000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7430282\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3]]},"references-count":66,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2016.2526058","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,3]]}}}