{"id":"https://openalex.org/W4415178538","doi":"https://doi.org/10.1109/tkde.2025.3621291","title":"A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges","display_name":"A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415178538","doi":"https://doi.org/10.1109/tkde.2025.3621291"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3621291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3621291","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/A5111188048","display_name":"ZhengZhao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"ZhengZhao Feng","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-0900-6786","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431161","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-8915-4169"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Zhejiang University, Hangzhou, China","Zhejiang University and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8915-4169","affiliations":[{"raw_affiliation_string":"Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]},{"raw_affiliation_string":"Zhejiang University and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":null,"display_name":"TianXing Wang","orcid":"https://orcid.org/0009-0009-4155-1638"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"TianXing Wang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-4155-1638","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026532752","display_name":"Mingli Song","orcid":"https://orcid.org/0000-0003-2621-6048"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingli Song","raw_affiliation_strings":["Shanghai Institute for Advanced Study, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2621-6048","affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Study, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064646829","display_name":"Sai Wu","orcid":"https://orcid.org/0000-0002-1866-9197"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sai Wu","raw_affiliation_strings":["Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1866-9197","affiliations":[{"raw_affiliation_string":"Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004997843","display_name":"Shuibing He","orcid":"https://orcid.org/0000-0002-7075-4153"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuibing He","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7075-4153","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111188048"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":37.0067,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.99711711,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"38","issue":"1","first_page":"26","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.8628000020980835,"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":0.8628000020980835,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8621000051498413,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8338000178337097,"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/key","display_name":"Key (lock)","score":0.49410000443458557},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.4611999988555908},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4361000061035156},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4296000003814697},{"id":"https://openalex.org/keywords/dynamic-network-analysis","display_name":"Dynamic network analysis","score":0.41260001063346863},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.38190001249313354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8798999786376953},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49410000443458557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4781000018119812},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4203999936580658},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38359999656677246},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.3027999997138977},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2863999903202057},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2506999969482422},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3621291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3621291","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":121,"referenced_works":["https://openalex.org/W1954241630","https://openalex.org/W2022322548","https://openalex.org/W2037859435","https://openalex.org/W2054217036","https://openalex.org/W2057087916","https://openalex.org/W2064675550","https://openalex.org/W2111708605","https://openalex.org/W2153204928","https://openalex.org/W2219888463","https://openalex.org/W2294347342","https://openalex.org/W2562676961","https://openalex.org/W2565330852","https://openalex.org/W2585835859","https://openalex.org/W2604314403","https://openalex.org/W2610034660","https://openalex.org/W2756203131","https://openalex.org/W2783466287","https://openalex.org/W2787927827","https://openalex.org/W2901504064","https://openalex.org/W2902558981","https://openalex.org/W2907492528","https://openalex.org/W2911946608","https://openalex.org/W2914999862","https://openalex.org/W2950369002","https://openalex.org/W2952179887","https://openalex.org/W2954691982","https://openalex.org/W2962736999","https://openalex.org/W2963224980","https://openalex.org/W2965683718","https://openalex.org/W2969227524","https://openalex.org/W2970929262","https://openalex.org/W2986068433","https://openalex.org/W2998116985","https://openalex.org/W2998313947","https://openalex.org/W3000084680","https://openalex.org/W3000310304","https://openalex.org/W3012664577","https://openalex.org/W3024560045","https://openalex.org/W3042856524","https://openalex.org/W3045255111","https://openalex.org/W3097986917","https://openalex.org/W3099845049","https://openalex.org/W3109841242","https://openalex.org/W3112520120","https://openalex.org/W3116132308","https://openalex.org/W3129178271","https://openalex.org/W3134757439","https://openalex.org/W3134942372","https://openalex.org/W3148140980","https://openalex.org/W3155874371","https://openalex.org/W3160144061","https://openalex.org/W3177564060","https://openalex.org/W3198212763","https://openalex.org/W3200735485","https://openalex.org/W3207203646","https://openalex.org/W3210361503","https://openalex.org/W4238614602","https://openalex.org/W4246941204","https://openalex.org/W4281401915","https://openalex.org/W4283366315","https://openalex.org/W4290875366","https://openalex.org/W4290877727","https://openalex.org/W4321445982","https://openalex.org/W4321446145","https://openalex.org/W4323343820","https://openalex.org/W4353115071","https://openalex.org/W4367046696","https://openalex.org/W4367046975","https://openalex.org/W4367047070","https://openalex.org/W4378506766","https://openalex.org/W4378942702","https://openalex.org/W4381328689","https://openalex.org/W4382202909","https://openalex.org/W4382239137","https://openalex.org/W4382239247","https://openalex.org/W4382239756","https://openalex.org/W4382240001","https://openalex.org/W4382318040","https://openalex.org/W4382449675","https://openalex.org/W4382464116","https://openalex.org/W4383749430","https://openalex.org/W4384625644","https://openalex.org/W4384648392","https://openalex.org/W4384659456","https://openalex.org/W4385245566","https://openalex.org/W4385270240","https://openalex.org/W4385270298","https://openalex.org/W4385270482","https://openalex.org/W4385284998","https://openalex.org/W4385285758","https://openalex.org/W4385430245","https://openalex.org/W4385567578","https://openalex.org/W4385567629","https://openalex.org/W4388103722","https://openalex.org/W4388662082","https://openalex.org/W4388936714","https://openalex.org/W4389609877","https://openalex.org/W4391054902","https://openalex.org/W4391277897","https://openalex.org/W4392182051","https://openalex.org/W4392543778","https://openalex.org/W4393160226","https://openalex.org/W4394828208","https://openalex.org/W4394998979","https://openalex.org/W4396571465","https://openalex.org/W4396601684","https://openalex.org/W4396735777","https://openalex.org/W4399208305","https://openalex.org/W4399423533","https://openalex.org/W4400910463","https://openalex.org/W4400944397","https://openalex.org/W4401017976","https://openalex.org/W4401863423","https://openalex.org/W4402655210","https://openalex.org/W4405216432","https://openalex.org/W4405466482","https://openalex.org/W4405506406","https://openalex.org/W4406250057","https://openalex.org/W4407784105","https://openalex.org/W4409365780","https://openalex.org/W4409369428"],"related_works":[],"abstract_inverted_index":{"Dynamic":[0],"Graph":[1],"Neural":[2],"Networks":[3],"(GNNs)":[4],"combine":[5],"temporal":[6],"information":[7],"with":[8,96],"GNNs":[9,33,176],"to":[10,22,35,43,45,74,165],"capture":[11],"structural,":[12],"temporal,":[13],"and":[14,39,63,84,105,121,135,147,152,159,171],"contextual":[15],"relationships":[16],"in":[17,25,68,173],"dynamic":[18,32,88,93,101,118,175],"graphs":[19],"simultaneously,":[20],"leading":[21],"enhanced":[23],"performance":[24,142],"various":[26,66,145],"applications.":[27],"As":[28],"the":[29,60,112,150,167,174],"demand":[30],"for":[31,54,162],"continues":[34],"grow,":[36],"numerous":[37],"models":[38,95,120,146,170],"frameworks":[40,123,172],"have":[41],"emerged":[42],"cater":[44],"different":[46],"application":[47],"needs.":[48],"There":[49],"is":[50,180],"a":[51,55,80,97,140],"pressing":[52],"need":[53],"comprehensive":[56],"survey":[57],"that":[58],"evaluates":[59],"performance,":[61],"strengths,":[62],"limitations":[64],"of":[65,87,115,169],"approaches":[67],"this":[69,76],"domain.":[70],"This":[71],"paper":[72],"aims":[73],"fill":[75],"gap":[77],"by":[78],"offering":[79],"thorough":[81,141],"comparative":[82],"analysis":[83,151],"experimental":[85,113],"evaluation":[86,153],"GNNs.":[89],"It":[90],"covers":[91],"91":[92],"GNN":[94,102,119],"novel":[98],"taxonomy,":[99],"17":[100],"training":[103,133],"frameworks,":[104],"commonly":[106],"used":[107],"benchmarks.":[108],"We":[109],"also":[110],"evaluate":[111],"results":[114],"ten":[116],"representative":[117],"five":[122],"on":[124,130],"six":[125],"datasets.":[126],"Evaluation":[127],"metrics":[128],"focus":[129],"convergence":[131],"accuracy,":[132],"efficiency,":[134],"GPU":[136],"memory":[137],"usage,":[138],"enabling":[139],"comparison":[143],"across":[144],"frameworks.":[148],"From":[149],"results,":[154],"we":[155],"identify":[156],"key":[157],"challenges":[158],"offer":[160],"principles":[161],"future":[163],"research":[164],"enhance":[166],"design":[168],"field.":[177],"Our":[178],"code":[179],"made":[181],"publicly":[182],"available":[183],"at":[184],"<uri":[185],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[186],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/fengwudi/DGNN_model_and_data</uri>":[187]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":8}],"updated_date":"2026-05-29T09:21:14.243279","created_date":"2025-10-15T00:00:00"}