{"id":"https://openalex.org/W4319054544","doi":"https://doi.org/10.1109/mci.2022.3222049","title":"Graph Lifelong Learning: A Survey","display_name":"Graph Lifelong Learning: A Survey","publication_year":2023,"publication_date":"2023-01-25","ids":{"openalex":"https://openalex.org/W4319054544","doi":"https://doi.org/10.1109/mci.2022.3222049"},"language":"en","primary_location":{"id":"doi:10.1109/mci.2022.3222049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2022.3222049","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Computational Intelligence Magazine","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/A5068971764","display_name":"Falih Gozi Febrinanto","orcid":"https://orcid.org/0000-0002-7932-4571"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Falih Gozi Febrinanto","raw_affiliation_strings":["Federation University Australia, AUSTRALIA"],"affiliations":[{"raw_affiliation_string":"Federation University Australia, AUSTRALIA","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089615958","display_name":"Feng Xia","orcid":"https://orcid.org/0000-0002-8324-1859"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Feng Xia","raw_affiliation_strings":["Federation University Australia, AUSTRALIA"],"affiliations":[{"raw_affiliation_string":"Federation University Australia, AUSTRALIA","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037106850","display_name":"Kristen Moore","orcid":"https://orcid.org/0000-0002-9962-5080"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kristen Moore","raw_affiliation_strings":["CSIRO’s Data61, AUSTRALIA"],"affiliations":[{"raw_affiliation_string":"CSIRO’s Data61, AUSTRALIA","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004372801","display_name":"Chandra Thapa","orcid":"https://orcid.org/0000-0002-3855-3378"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chandra Thapa","raw_affiliation_strings":["CSIRO’s Data61, AUSTRALIA"],"affiliations":[{"raw_affiliation_string":"CSIRO’s Data61, AUSTRALIA","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025936585","display_name":"Charu C. Aggarwal","orcid":"https://orcid.org/0000-0002-3937-7839"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charu Aggarwal","raw_affiliation_strings":["IBM T. J. Watson Research Center, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068971764"],"corresponding_institution_ids":["https://openalex.org/I149672521"],"apc_list":null,"apc_paid":null,"fwci":9.8512,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.98618315,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":"1","first_page":"32","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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":0.9994999766349792,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9685999751091003,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7779998779296875},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.6855834126472473},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.6174423098564148},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6086798906326294},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5704593658447266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5320072770118713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48948991298675537},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4318258762359619}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779998779296875},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.6855834126472473},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.6174423098564148},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6086798906326294},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5704593658447266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5320072770118713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48948991298675537},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4318258762359619},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mci.2022.3222049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mci.2022.3222049","pdf_url":null,"source":{"id":"https://openalex.org/S104797584","display_name":"IEEE Computational Intelligence Magazine","issn_l":"1556-603X","issn":["1556-603X","1556-6048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Computational Intelligence Magazine","raw_type":"journal-article"},{"id":"pmh:vital:18165","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/193433","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":143,"referenced_works":["https://openalex.org/W277886906","https://openalex.org/W637153065","https://openalex.org/W1682403713","https://openalex.org/W1983883318","https://openalex.org/W1991418309","https://openalex.org/W2022322548","https://openalex.org/W2060277733","https://openalex.org/W2116341502","https://openalex.org/W2116522068","https://openalex.org/W2119885577","https://openalex.org/W2127795553","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2157331557","https://openalex.org/W2250184916","https://openalex.org/W2393319904","https://openalex.org/W2424347275","https://openalex.org/W2473930607","https://openalex.org/W2513168643","https://openalex.org/W2547065907","https://openalex.org/W2560647685","https://openalex.org/W2565989828","https://openalex.org/W2618530766","https://openalex.org/W2728059831","https://openalex.org/W2756203131","https://openalex.org/W2774837955","https://openalex.org/W2786016794","https://openalex.org/W2786446225","https://openalex.org/W2787927827","https://openalex.org/W2788388592","https://openalex.org/W2788919350","https://openalex.org/W2804901184","https://openalex.org/W2806115886","https://openalex.org/W2806983170","https://openalex.org/W2897702399","https://openalex.org/W2900569176","https://openalex.org/W2903871660","https://openalex.org/W2907492528","https://openalex.org/W2945827377","https://openalex.org/W2945942573","https://openalex.org/W2953452999","https://openalex.org/W2954691982","https://openalex.org/W2962756421","https://openalex.org/W2962884963","https://openalex.org/W2963165299","https://openalex.org/W2963175158","https://openalex.org/W2963209029","https://openalex.org/W2963224980","https://openalex.org/W2963351448","https://openalex.org/W2964189064","https://openalex.org/W2965341826","https://openalex.org/W2968596670","https://openalex.org/W2971013448","https://openalex.org/W2979845147","https://openalex.org/W2980013009","https://openalex.org/W2980994576","https://openalex.org/W2996514457","https://openalex.org/W2996847713","https://openalex.org/W2998372459","https://openalex.org/W3002924435","https://openalex.org/W3011667710","https://openalex.org/W3015862467","https://openalex.org/W3024560045","https://openalex.org/W3026076535","https://openalex.org/W3030364939","https://openalex.org/W3038570070","https://openalex.org/W3041133507","https://openalex.org/W3045255111","https://openalex.org/W3087775916","https://openalex.org/W3098366174","https://openalex.org/W3098511564","https://openalex.org/W3099387504","https://openalex.org/W3099554319","https://openalex.org/W3101553402","https://openalex.org/W3103720336","https://openalex.org/W3104097132","https://openalex.org/W3106393803","https://openalex.org/W3110791298","https://openalex.org/W3112170794","https://openalex.org/W3123459983","https://openalex.org/W3127228978","https://openalex.org/W3141797743","https://openalex.org/W3157999218","https://openalex.org/W3159243351","https://openalex.org/W3160381762","https://openalex.org/W3165863275","https://openalex.org/W3177494822","https://openalex.org/W3177564060","https://openalex.org/W3187395669","https://openalex.org/W3193056147","https://openalex.org/W3198257238","https://openalex.org/W3199066198","https://openalex.org/W3205597769","https://openalex.org/W3209485964","https://openalex.org/W3214753197","https://openalex.org/W4211213044","https://openalex.org/W4212857616","https://openalex.org/W4221150583","https://openalex.org/W4221157965","https://openalex.org/W4221166193","https://openalex.org/W4285080043","https://openalex.org/W4287829537","https://openalex.org/W4288276219","https://openalex.org/W4293363567","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4295883599","https://openalex.org/W4313143666","https://openalex.org/W4319988532","https://openalex.org/W6620673361","https://openalex.org/W6631089601","https://openalex.org/W6678830454","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6737377802","https://openalex.org/W6738964360","https://openalex.org/W6741087337","https://openalex.org/W6741217325","https://openalex.org/W6742852309","https://openalex.org/W6746313456","https://openalex.org/W6748799445","https://openalex.org/W6749077313","https://openalex.org/W6751747363","https://openalex.org/W6752306858","https://openalex.org/W6754929296","https://openalex.org/W6755863455","https://openalex.org/W6757384668","https://openalex.org/W6758075616","https://openalex.org/W6766612752","https://openalex.org/W6767674130","https://openalex.org/W6771621015","https://openalex.org/W6774097426","https://openalex.org/W6776137863","https://openalex.org/W6779808689","https://openalex.org/W6780793664","https://openalex.org/W6791882405","https://openalex.org/W6793681379","https://openalex.org/W6796149743","https://openalex.org/W6800804906","https://openalex.org/W6802647179","https://openalex.org/W6809831610","https://openalex.org/W6810054618","https://openalex.org/W6849896277"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2364105709","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W2384383462","https://openalex.org/W4311804456","https://openalex.org/W3115442681","https://openalex.org/W2007838763","https://openalex.org/W2391000461","https://openalex.org/W2972311463"],"abstract_inverted_index":{"Graph":[0],"learning":[1,10,19,51,95,113,118,145],"is":[2,31,57,63,146],"a":[3,93,141,157],"popular":[4],"approach":[5,96],"for":[6],"perfor":[7],"ming":[8],"machine":[9,18],"on":[11],"graph-structured":[12],"data.":[13],"It":[14],"has":[15],"revolutionized":[16],"the":[17,35,55,79,100,150,168,174],"ability":[20],"to":[21,25,34,46,76,130,136],"model":[22],"graph":[23,38,50,56,81,101,133,143,164],"data":[24,39],"address":[26],"downstream":[27],"tasks.":[28],"Its":[29],"application":[30],"wide":[32],"due":[33,135],"availability":[36],"of":[37,44,160,170,176],"ranging":[40],"from":[41,149],"all":[42],"types":[43],"networks":[45],"information":[47,106],"systems.":[48],"Most":[49],"methods":[52,114],"assume":[53],"that":[54,97,115],"static":[58],"and":[59,103,124,173,179],"its":[60,137],"complete":[61],"structure":[62],"known":[64],"during":[65],"training.":[66],"This":[67,153],"limits":[68],"their":[69],"applicability":[70],"since":[71],"they":[72],"cannot":[73,126],"be":[74,127],"applied":[75,129],"problems":[77],"where":[78],"underlying":[80],"grows":[82],"over":[83],"time":[84],"and/or":[85],"new":[86,105],"tasks":[87],"emerge":[88],"incrementally.":[89],"Such":[90],"applications":[91,178],"require":[92],"lifelong":[94,144,165],"can":[98],"learn":[99],"continuously":[102,131],"accommodate":[104],"whilst":[107],"retaining":[108],"previously":[109],"learned":[110],"knowledge.":[111],"Lifelong":[112],"enable":[116],"continuous":[117],"in":[119,163],"regular":[120],"domains":[121],"like":[122],"images":[123],"text":[125],"directly":[128],"evolving":[132],"data,":[134],"irregular":[138],"structure.":[139],"As":[140],"result,":[142],"gaining":[147],"attention":[148],"research":[151,181],"community.":[152],"survey":[154],"paper":[155],"provides":[156],"comprehensive":[158],"overview":[159],"recent":[161],"advancements":[162],"learning,":[166],"including":[167],"categorization":[169],"existing":[171],"methods,":[172],"discussions":[175],"potential":[177],"open":[180],"problems.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":12}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}