{"id":"https://openalex.org/W4414757965","doi":"https://doi.org/10.1109/tkde.2025.3609877","title":"A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications","display_name":"A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications","publication_year":2025,"publication_date":"2025-10-02","ids":{"openalex":"https://openalex.org/W4414757965","doi":"https://doi.org/10.1109/tkde.2025.3609877"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3609877","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3609877","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tkde.2025.3609877","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011245812","display_name":"Wenbo Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wenbo Shang","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong","Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058488736","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-3650-0301"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xin Huang","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong","Department of Computer Science, Hong Kong Baptist University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011245812"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":9.9395,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97874058,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"37","issue":"12","first_page":"6799","last_page":"6819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9866999983787537,"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":0.9866999983787537,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9613000154495239,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10028","display_name":"Topic Modeling","score":0.9352999925613403,"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/inference","display_name":"Inference","score":0.5364000201225281},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5234000086784363},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5117999911308289},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4742000102996826},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4406999945640564},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.39329999685287476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964000105857849},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5364000201225281},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5234000086784363},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5117999911308289},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4742000102996826},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4456000030040741},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4406999945640564},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42640000581741333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.415800005197525},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.39329999685287476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35580000281333923},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.2935999929904938},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3609877","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3609877","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"id":"doi:10.1109/tkde.2025.3609877","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3609877","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":103,"referenced_works":["https://openalex.org/W1584308190","https://openalex.org/W1893177189","https://openalex.org/W1984990803","https://openalex.org/W2022322548","https://openalex.org/W2029941278","https://openalex.org/W2034618876","https://openalex.org/W2047532797","https://openalex.org/W2056562706","https://openalex.org/W2094728533","https://openalex.org/W2099438806","https://openalex.org/W2101105183","https://openalex.org/W2121406124","https://openalex.org/W2128088446","https://openalex.org/W2129620481","https://openalex.org/W2131785201","https://openalex.org/W2153959628","https://openalex.org/W2162630660","https://openalex.org/W2168190036","https://openalex.org/W2175110005","https://openalex.org/W2250184916","https://openalex.org/W2294347342","https://openalex.org/W2396881363","https://openalex.org/W2511149293","https://openalex.org/W2557074642","https://openalex.org/W2594183968","https://openalex.org/W2755637027","https://openalex.org/W2799059383","https://openalex.org/W2893359107","https://openalex.org/W2907492528","https://openalex.org/W2950723285","https://openalex.org/W2951360122","https://openalex.org/W2964120615","https://openalex.org/W2971196067","https://openalex.org/W3034835156","https://openalex.org/W3093479309","https://openalex.org/W3097300053","https://openalex.org/W3100058503","https://openalex.org/W3151929433","https://openalex.org/W3152893301","https://openalex.org/W3170403598","https://openalex.org/W3185341429","https://openalex.org/W4220844664","https://openalex.org/W4284691163","https://openalex.org/W4307717106","https://openalex.org/W4367047045","https://openalex.org/W4376864968","https://openalex.org/W4381930847","https://openalex.org/W4385572986","https://openalex.org/W4387250121","https://openalex.org/W4387789903","https://openalex.org/W4389519387","https://openalex.org/W4389523861","https://openalex.org/W4389523998","https://openalex.org/W4390692489","https://openalex.org/W4391407054","https://openalex.org/W4391645416","https://openalex.org/W4392240262","https://openalex.org/W4392367398","https://openalex.org/W4393029443","https://openalex.org/W4393147025","https://openalex.org/W4393147839","https://openalex.org/W4393152682","https://openalex.org/W4393156804","https://openalex.org/W4393160302","https://openalex.org/W4393160410","https://openalex.org/W4393277515","https://openalex.org/W4396722529","https://openalex.org/W4396735838","https://openalex.org/W4396945188","https://openalex.org/W4398184761","https://openalex.org/W4400410221","https://openalex.org/W4400524696","https://openalex.org/W4400910128","https://openalex.org/W4401042333","https://openalex.org/W4401043120","https://openalex.org/W4401043240","https://openalex.org/W4401754921","https://openalex.org/W4401857164","https://openalex.org/W4401863349","https://openalex.org/W4401863589","https://openalex.org/W4402670208","https://openalex.org/W4402670285","https://openalex.org/W4402670432","https://openalex.org/W4402671983","https://openalex.org/W4402672103","https://openalex.org/W4402683053","https://openalex.org/W4402684293","https://openalex.org/W4402915290","https://openalex.org/W4404781795","https://openalex.org/W4404782821","https://openalex.org/W4404782964","https://openalex.org/W4404783226","https://openalex.org/W4404965864","https://openalex.org/W4405740130","https://openalex.org/W4406460467","https://openalex.org/W4408183463","https://openalex.org/W4410706693","https://openalex.org/W4411374210","https://openalex.org/W4412402642","https://openalex.org/W4412888248","https://openalex.org/W4412945379","https://openalex.org/W4414757965","https://openalex.org/W4415707504"],"related_works":[],"abstract_inverted_index":{"A":[0],"graph":[1,59,72,80,112,128,134,160,169,174,188,240,283],"is":[2,105],"a":[3,37,120,246,255],"fundamental":[4],"data":[5],"model":[6,250],"to":[7,41,48,107,110,237],"represent":[8],"various":[9,43],"entities":[10],"and":[11,17,27,53,83,142,148,176,179,191,199,204,211,224,254,258,271,282],"their":[12],"complex":[13],"relationships":[14],"in":[15,66,163,274],"society":[16],"nature,":[18],"such":[19],"as":[20],"social":[21],"networks,":[22,24,26],"transportation":[23],"financial":[25],"biomedical":[28],"systems.":[29],"Recently,":[30],"large":[31],"language":[32,45],"models":[33,82,94,141],"(LLMs)":[34],"have":[35],"showcased":[36],"strong":[38],"generalization":[39],"ability":[40],"handle":[42,238],"natural":[44],"processing":[46,171],"tasks":[47,73,136],"answer":[49],"users'":[50],"arbitrary":[51],"questions":[52],"generate":[54],"specific-domain":[55],"content.":[56],"Compared":[57],"with":[58],"learning":[60,81,177,210],"models,":[61],"LLMs":[62,91,109,281],"enjoy":[63],"superior":[64],"advantages":[65],"addressing":[67],"the":[68,76,85,132,145,154,231,262],"challenges":[69,147],"of":[70,87,123,157,165,187,248,261,280],"generalizing":[71],"by":[74,138],"eliminating":[75],"need":[77],"for":[78,95],"training":[79],"reducing":[84],"cost":[86],"manual":[88],"annotation.":[89],"However,":[90],"are":[92,100],"sequential":[93],"textual":[96],"data,":[97,129],"but":[98],"graphs":[99,203],"non-sequential":[101],"topological":[102],"data.":[103],"It":[104],"challenging":[106],"adapt":[108],"tackle":[111],"analytics":[113,135,161,189],"tasks.":[114,242],"In":[115],"this":[116,275],"survey,":[117],"we":[118,152,244],"conduct":[119],"comprehensive":[121],"investigation":[122],"existing":[124,146],"LLM":[125,140,192,236,249],"studies":[126],"on":[127,184,209],"which":[130],"summarizes":[131],"relevant":[133],"solved":[137],"advanced":[139],"points":[143],"out":[144],"future":[149,272],"directions.":[150],"Specifically,":[151],"study":[153],"key":[155],"problems":[156,270],"LLM-based":[158,168,173],"generative":[159],"(LLM-GGA)":[162],"terms":[164],"three":[166],"categories:":[167],"query":[170],"(LLM-GQP),":[172],"inference":[175],"(LLM-GIL),":[178],"graph-LLM-based":[180],"applications.":[181],"LLM-GQP":[182],"focuses":[183,208],"an":[185],"integration":[186],"techniques":[190],"prompts,":[193],"including":[194,215],"<italic":[195,200,216,220,225],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[196,201,217,221,226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">graph":[197,218,227],"understanding</i>":[198],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">knowledge":[202],"LLMs</i>,":[205],"while":[206],"LLM-GIL":[207],"reasoning":[212],"over":[213],"graphs,":[214],"learning</i>,":[219],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">graph-formed":[222],"reasoning</i>,":[223],"representation</i>.":[228],"We":[229,266],"summarize":[230],"useful":[232],"prompts":[233],"incorporated":[234],"into":[235],"different":[239],"downstream":[241],"Moreover,":[243],"give":[245],"summary":[247],"evaluation,":[251],"benchmark":[252],"datasets/tasks,":[253],"deep":[256],"pro":[257],"cons":[259],"analysis":[260],"discussed":[263],"LLM-GGA":[264],"models.":[265],"also":[267],"explore":[268],"open":[269],"directions":[273],"exciting":[276],"interdisciplinary":[277],"research":[278],"area":[279],"analytics.":[284]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
