{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T00:33:00Z","timestamp":1768523580554,"version":"3.49.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2015,9,1]],"date-time":"2015-09-01T00:00:00Z","timestamp":1441065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2015,9,1]]},"DOI":"10.1109\/tkde.2015.2413789","type":"journal-article","created":{"date-parts":[[2015,3,16]],"date-time":"2015-03-16T18:57:22Z","timestamp":1426532242000},"page":"2536-2549","source":"Crossref","is-referenced-by-count":23,"title":["TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs"],"prefix":"10.1109","volume":"27","author":[{"given":"Meng","family":"Fang","sequence":"first","affiliation":[]},{"given":"Jie","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Xingquan","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Chengqi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.116"},{"key":"ref38","first-page":"1477","article-title":"Predicting positive and negative links in signed social networks by transfer learning","author":"ye","year":"0","journal-title":"Proc Int World Wide Web Conf"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3115\/1687878.1687880"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2393437"},{"key":"ref31","first-page":"1231","article-title":"Otl: A framework of online transfer learning","author":"zhao","year":"0","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2010041"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553402"},{"key":"ref36","first-page":"608","article-title":"Mapping and revising Markov logic netowrks for transfer learning","author":"mihalkova","year":"0","journal-title":"Proc 22nd Nat Conf Artif Intell"},{"key":"ref35","first-page":"1304","article-title":"Heterogeneous transfer learning for image classification","author":"zhu","year":"0","journal-title":"Proc Nat Conf Artif Intell"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33486-3_48"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390441"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/1610075.1610094"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772767"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972818.31"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8462-3_5"},{"key":"ref20","first-page":"13","article-title":"Iterative classification in relational data","author":"neville","year":"0","journal-title":"Proc AAAI Workshop Learning Statistical Models from Relational Data"},{"key":"ref22","first-page":"399","article-title":"Case-based collective classification","author":"mcdowell","year":"0","journal-title":"Proc Florida Artif Intell Res Soc Conf"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2007.35"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273521"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1609\/aimag.v29i3.2157","article-title":"Collective classification in network data","volume":"29","author":"sen","year":"2008","journal-title":"AI Mag"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401928"},{"key":"ref25","first-page":"540","article-title":"Transferring naive Bayes classifiers for text classification","author":"dai","year":"0","journal-title":"Proc 22nd Nat Conf Artif Intell"},{"key":"ref50","first-page":"133","article-title":"Subgraph mining on directed and weighted graphs","author":"g\u00fcnemann","year":"0","journal-title":"Proc 12th Pacific-Asia Conf Adv Knowl Discovery Data Mining"},{"key":"ref10","first-page":"41","article-title":"Multi-task feature learning","volume":"19","author":"evgeniou","year":"2007","journal-title":"Proc Adv Neural Inf Process Sys"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273592"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/3-540-45372-5_2","article-title":"An Apriori-based algorithm for mining frequent substructures from graph data","author":"inokuchi","year":"0","journal-title":"Proc 3rd Eur Conf Principles Data Mining Knowl Discov"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835950"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.75"},{"key":"ref14","first-page":"149","article-title":"An improved algorithm for matching large graphs","author":"cordella","year":"0","journal-title":"Proc IAPR-TC15 Workshop Graph-Based Representations Pattern Recognit"},{"key":"ref15","first-page":"593","article-title":"Why collective classification improves relational classification","author":"jensen","year":"0","journal-title":"Proc 10th ACM SIGKDD Int Conf Knowl Discovery Data Mining"},{"key":"ref16","first-page":"2777","article-title":"Cautious collective classification","volume":"10","author":"mcdowell","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref17","first-page":"343","article-title":"Across-model collective ensemble classification","author":"eldardiry","year":"0","journal-title":"Proc 25th AAAI Conf Artif Intell"},{"key":"ref18","article-title":"Markov random fields and their applications","volume":"1","author":"kindermann","year":"1980","journal-title":"Am Math Soc"},{"key":"ref19","first-page":"485","article-title":"Discriminative probabilistic models for relational data","author":"taskar","year":"0","journal-title":"Proc 18th Conf Uncertainty Artif Intell"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.04.047"},{"key":"ref3","first-page":"281","article-title":"A machine learning approach to Twitter user classification","author":"pennacchiotti","year":"0","journal-title":"Proc 5th Int Conf Weblogs Social Media"},{"key":"ref6","first-page":"380","article-title":"Patterns of influence in a recommendation network","author":"leskovec","year":"0","journal-title":"Proc 12th Pacific-Asia Conf Adv Knowl Discovery Data Mining"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972818.5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.60"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37453-1_18"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3023-4_1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref46","first-page":"426","article-title":"The art of computer programming","volume":"3","author":"donald","year":"1999","journal-title":"Sorting and Searching"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7091-6487-7_6"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/3-540-70659-3_12","article-title":"A comparison of algorithms for maximum common subgraph on randomly connected graphs","volume":"2396","author":"bunke","year":"2002","journal-title":"Proc Structural Syntactic and Statistical Pattern Recognition"},{"key":"ref47","article-title":"Learning from ambiguity","author":"maron","year":"1998"},{"key":"ref42","first-page":"1586","article-title":"Graph classification with imbalanced class distributions and noise","author":"pan","year":"0","journal-title":"Proc 23rd Int Joint Conf Artif Intell"},{"key":"ref41","first-page":"721","article-title":"gSpan: Graph-based substructure pattern mining","author":"yan","year":"0","journal-title":"Proc IEEE Int Conf Data Mining"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/1007568.1007607"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.367917"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/7177178\/07061528.pdf?arnumber=7061528","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:03:19Z","timestamp":1642003399000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7061528\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,1]]},"references-count":50,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2015.2413789","relation":{},"ISSN":["1041-4347"],"issn-type":[{"value":"1041-4347","type":"print"}],"subject":[],"published":{"date-parts":[[2015,9,1]]}}}