{"id":"https://openalex.org/W4391721457","doi":"https://doi.org/10.1007/s40747-024-01344-z","title":"Improving academic performance predictions with dual graph neural networks","display_name":"Improving academic performance predictions with dual graph neural networks","publication_year":2024,"publication_date":"2024-02-10","ids":{"openalex":"https://openalex.org/W4391721457","doi":"https://doi.org/10.1007/s40747-024-01344-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01344-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01344-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01344-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01344-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061417406","display_name":"Qionghao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qionghao Huang","raw_affiliation_strings":["College of Education, Zhejiang Normal University, Yinbin Ave, Jinhua, 321004, Zhejiang, China","Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China"],"affiliations":[{"raw_affiliation_string":"College of Education, Zhejiang Normal University, Yinbin Ave, Jinhua, 321004, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374229","display_name":"Yan Zeng","orcid":"https://orcid.org/0000-0003-0840-5259"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Zeng","raw_affiliation_strings":["College of Education, Zhejiang Normal University, Yinbin Ave, Jinhua, 321004, Zhejiang, China","Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China"],"affiliations":[{"raw_affiliation_string":"College of Education, Zhejiang Normal University, Yinbin Ave, Jinhua, 321004, Zhejiang, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Province, Zhejiang Normal University, Jinhua, 321004, China","institution_ids":["https://openalex.org/I135237710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061417406"],"corresponding_institution_ids":["https://openalex.org/I135237710"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":15.4938,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.98960132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"10","issue":"3","first_page":"3557","last_page":"3575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.963699996471405,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7430321574211121},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6295849084854126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6287026405334473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5998241901397705},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5340657830238342},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4560631513595581},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45203885436058044},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.44980257749557495},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42332345247268677},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3652994632720947},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3390086889266968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08304324746131897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7430321574211121},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6295849084854126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6287026405334473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5998241901397705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5340657830238342},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4560631513595581},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45203885436058044},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.44980257749557495},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42332345247268677},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3652994632720947},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3390086889266968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08304324746131897},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01344-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01344-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01344-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7c9217e3605e43fe805a0d71be9d984a","is_oa":true,"landing_page_url":"https://doaj.org/article/7c9217e3605e43fe805a0d71be9d984a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3557-3575 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01344-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01344-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01344-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G154293478","display_name":null,"funder_award_id":"62007031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2630823314","display_name":null,"funder_award_id":"62207028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4140905137","display_name":null,"funder_award_id":"62177016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5047941689","display_name":null,"funder_award_id":"LY23F02000","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6685474925","display_name":null,"funder_award_id":"LY23F020009","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6946378960","display_name":null,"funder_award_id":"2022C03106","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"},{"id":"https://openalex.org/F4320322819","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391721457.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2595001366","https://openalex.org/W2769342982","https://openalex.org/W2791327891","https://openalex.org/W2804303895","https://openalex.org/W2907492528","https://openalex.org/W2910744507","https://openalex.org/W2935878216","https://openalex.org/W2971924021","https://openalex.org/W2980472839","https://openalex.org/W2990045899","https://openalex.org/W2997785591","https://openalex.org/W3006766033","https://openalex.org/W3012429909","https://openalex.org/W3018659574","https://openalex.org/W3049450989","https://openalex.org/W3089984678","https://openalex.org/W3091847065","https://openalex.org/W3093651024","https://openalex.org/W3113641224","https://openalex.org/W3152893301","https://openalex.org/W3155422817","https://openalex.org/W3156645953","https://openalex.org/W3197400233","https://openalex.org/W3199658787","https://openalex.org/W3213055583","https://openalex.org/W4210707990","https://openalex.org/W4212799958","https://openalex.org/W4214598159","https://openalex.org/W4220950178","https://openalex.org/W4220958359","https://openalex.org/W4283724061","https://openalex.org/W4285076853","https://openalex.org/W4285798423","https://openalex.org/W4288422978","https://openalex.org/W4298000642","https://openalex.org/W4307561542","https://openalex.org/W4312211780","https://openalex.org/W4313478036","https://openalex.org/W4315977496","https://openalex.org/W4323361619","https://openalex.org/W4366310121","https://openalex.org/W4366975045","https://openalex.org/W4377247626","https://openalex.org/W4379352342","https://openalex.org/W4382318164","https://openalex.org/W4386366717","https://openalex.org/W6600109629"],"related_works":["https://openalex.org/W1559004430","https://openalex.org/W1485952063","https://openalex.org/W2525379498","https://openalex.org/W3114046518","https://openalex.org/W2317351040","https://openalex.org/W2944985468","https://openalex.org/W3197677699","https://openalex.org/W3204299797","https://openalex.org/W4386136067","https://openalex.org/W4286858940"],"abstract_inverted_index":{"Abstract":[0],"Academic":[1],"performance":[2,62,108,124],"is":[3],"a":[4,56,148,200],"crucial":[5],"issue":[6],"in":[7,22,40,63,147],"the":[8,23,36,69,80,88,164,172,209,214],"field":[9],"of":[10,25,29,71,92,129,178,190,213],"Online":[11],"learning":[12,42,151],"analytics.":[13],"While":[14],"deep":[15],"learning-based":[16],"models":[17],"have":[18],"made":[19],"significant":[20],"progress":[21],"era":[24],"big":[26],"data,":[27],"many":[28],"these":[30],"methods":[31],"need":[32],"help":[33],"to":[34,76,104,120,153],"capture":[35],"complex":[37],"relationships":[38],"present":[39,55],"online":[41,111],"activities":[43,86,113],"and":[44,87,114,142,187,211],"student":[45],"attributes,":[46],"which":[47],"are":[48,145],"essential":[49],"for":[50,59,180,192],"improving":[51],"prediction":[52],"accuracy.":[53],"We":[54],"novel":[57],"model":[58,67,96,166,174],"predicting":[60,181,193],"academic":[61,107,123,156],"this":[64],"paper.":[65],"This":[66],"harnesses":[68],"power":[70],"dual":[72],"graph":[73,100,117,134],"neural":[74,101,118],"networks":[75],"effectively":[77],"utilize":[78],"both":[79],"structural":[81],"information":[82],"derived":[83],"from":[84,110,126,140],"interaction":[85,112],"attribute":[89,127],"feature":[90],"spaces":[91],"students.":[93],"The":[94,137,158,205],"proposed":[95,165,173,215],"uses":[97],"an":[98,115,176,188],"interaction-based":[99],"network":[102,119],"module":[103,152],"learn":[105,121],"local":[106,141],"representations":[109,125,139],"attribute-based":[116],"global":[122,143],"features":[128],"all":[130],"students":[131,182,194],"using":[132],"dynamic":[133],"convolution":[135],"operations.":[136],"learned":[138],"levels":[144],"combined":[146],"local-to-global":[149],"representation":[150],"generate":[154],"predicted":[155],"performances.":[157],"empirical":[159],"study":[160],"results":[161],"demonstrate":[162],"that":[163],"significantly":[167],"outperforms":[168],"existing":[169],"methods.":[170],"Notably,":[171],"achieves":[175],"accuracy":[177,189],"83.96%":[179],"who":[183,195],"pass":[184,196],"or":[185,197],"fail":[186],"90.18%":[191],"withdraw":[198],"on":[199],"widely":[201],"recognized":[202],"public":[203],"dataset.":[204],"ablation":[206],"studies":[207],"confirm":[208],"effectiveness":[210],"superiority":[212],"techniques.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":8}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}