{"id":"https://openalex.org/W4416798125","doi":"https://doi.org/10.1109/tkde.2025.3638465","title":"TCGU: Data-Centric Graph Unlearning Based on Transferable Condensation","display_name":"TCGU: Data-Centric Graph Unlearning Based on Transferable Condensation","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W4416798125","doi":"https://doi.org/10.1109/tkde.2025.3638465"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2025.3638465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3638465","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104290906","display_name":"Fan Li","orcid":"https://orcid.org/0009-0004-2951-2226"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","School of Computer Science and Engineering, the University of New South Wales, Australia"],"raw_orcid":"https://orcid.org/0009-0004-2951-2226","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, the University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087768777","display_name":"Xiaoyang Wang","orcid":"https://orcid.org/0000-0003-3554-3219"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaoyang Wang","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","School of Computer Science and Engineering, the University of New South Wales, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3554-3219","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, the University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112386538","display_name":"Dawei Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Cheng","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China","Department of Computer Science and Technology, Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0002-5877-7387","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0001-6572-2600"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjie Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","School of Computer Science and Engineering, the University of New South Wales, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6572-2600","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Computer Science and Engineering, the University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041446763","display_name":"Chen Chen","orcid":"https://orcid.org/0000-0003-3908-6545"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chen Chen","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia","School of Computing and Information Technology, University of Wollongong, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3908-6545","affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]},{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386104","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-2674-1638"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","School of Computer Science, University of Technology Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2674-1638","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079659938","display_name":"Xuemin Lin","orcid":"https://orcid.org/0000-0003-2396-7225"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemin Lin","raw_affiliation_strings":["Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China","Antai College of Economics and Management, Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0003-2396-7225","affiliations":[{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92149868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"38","issue":"2","first_page":"1334","last_page":"1348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.8421000242233276,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.8421000242233276,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.05000000074505806,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.02199999988079071,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5390999913215637},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4498000144958496},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4174000024795532},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.37459999322891235},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.37070000171661377},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3569999933242798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335000038146973},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5573999881744385},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5390999913215637},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4174000024795532},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33489999175071716},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32359999418258667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2574999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3638465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3638465","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8582128816","display_name":null,"funder_award_id":"62472317","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1488996941","https://openalex.org/W2963555845","https://openalex.org/W3023153742","https://openalex.org/W3154155772","https://openalex.org/W3213758632","https://openalex.org/W4296562799","https://openalex.org/W4312252393","https://openalex.org/W4319300193","https://openalex.org/W4321452549","https://openalex.org/W4362706499","https://openalex.org/W4367046925","https://openalex.org/W4382239683","https://openalex.org/W4386065613","https://openalex.org/W4391549720","https://openalex.org/W4393147268","https://openalex.org/W4396758687","https://openalex.org/W4396758739","https://openalex.org/W4396843900","https://openalex.org/W4396844349","https://openalex.org/W4399452740","https://openalex.org/W4401863495","https://openalex.org/W4402011365","https://openalex.org/W4402265414","https://openalex.org/W4415796054"],"related_works":[],"abstract_inverted_index":{"With":[0],"growing":[1],"demands":[2],"for":[3,125],"data":[4,18,138,159,179,243],"privacy":[5],"and":[6,44,169,180,218],"model":[7,39,77,214],"robustness,":[8],"graph":[9,104,118,239],"unlearning":[10,30,84,127,132,216,219,240],"(GU),":[11],"which":[12,57,72],"erases":[13],"the":[14,52,91,116,136,149,155,191,194,227,234],"influence":[15],"of":[16,157,213,229],"specific":[17],"on":[19,193,200],"trained":[20],"GNN":[21,185,192],"models,":[22],"has":[23],"gained":[24],"significant":[25,81],"attention.":[26],"However,":[27],"existing":[28,223],"exact":[29],"methods":[31,48],"suffer":[32],"from":[33],"either":[34],"low":[35],"efficiency":[36],"or":[37],"poor":[38],"performance.":[40],"While":[41],"more":[42],"utility-preserving":[43,123],"efficient,":[45],"current":[46],"approximate":[47,70,248],"require":[49],"access":[50],"to":[51,74,103,114,143,175,222,237],"forget":[53],"set":[54],"during":[55],"unlearning,":[56],"makes":[58],"them":[59],"inapplicable":[60],"in":[61,86,184,211],"immediate":[62,242],"deletion":[63],"scenarios,":[64],"thereby":[65],"undermining":[66],"privacy.":[67],"Additionally,":[68],"these":[69],"methods,":[71],"attempt":[73],"directly":[75,144],"perturb":[76],"parameters,":[78],"still":[79],"raise":[80],"concerns":[82],"regarding":[83],"power":[85],"empirical":[87],"studies.":[88],"To":[89,226],"fill":[90],"gap,":[92],"we":[93,107,134,189],"propose":[94],"Transferable":[95],"Condensation":[96],"Graph":[97],"Unlearning":[98],"(TCGU),":[99],"a":[100,110,120,140,170,246],"data-centric":[101,247],"solution":[102],"unlearning.":[105],"Specifically,":[106],"first":[108,235],"develop":[109],"two-level":[111],"alignment":[112],"strategy":[113],"pre-condense":[115],"original":[117],"into":[119],"compact":[121],"yet":[122],"dataset":[124],"subsequent":[126],"tasks.":[128],"Upon":[129],"receiving":[130],"an":[131],"request,":[133],"fine-tune":[135],"pre-condensed":[137],"with":[139,148,241],"low-rank":[141],"plugin,":[142],"align":[145],"its":[146,182],"distribution":[147,166],"remaining":[150],"graph,":[151],"thus":[152],"efficiently":[153],"revoking":[154],"information":[156],"deleted":[158],"without":[160],"accessing":[161],"them.":[162],"A":[163],"novel":[164],"similarity":[165],"matching":[167],"approach":[168],"discrimination":[171],"regularizer":[172],"are":[173],"proposed":[174],"effectively":[176],"transfer":[177],"condensed":[178,196],"preserve":[181],"utility":[183],"training,":[186],"respectively.":[187],"Finally,":[188],"retrain":[190],"transferred":[195],"data.":[197],"Extensive":[198],"experiments":[199],"7":[201],"benchmark":[202],"datasets":[203],"demonstrate":[204],"that":[205],"TCGU":[206],"can":[207],"achieve":[208],"superior":[209],"performance":[210],"terms":[212],"utility,":[215],"efficiency,":[217],"efficacy":[220],"compared":[221],"GU":[224],"methods.":[225],"best":[228],"our":[230],"knowledge,":[231],"this":[232],"is":[233],"study":[236],"explore":[238],"removal":[244],"using":[245],"method.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-08T20:05:33.558190","created_date":"2025-11-28T00:00:00"}