{"id":"https://openalex.org/W7137837239","doi":"https://doi.org/10.1609/aaai.v40i19.38630","title":"DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification","display_name":"DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137837239","doi":"https://doi.org/10.1609/aaai.v40i19.38630"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i19.38630","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i19.38630","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38630/42592","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38630/42592","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129703778","display_name":"Guangkai Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangkai Wu","raw_affiliation_strings":["Shandong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129704361","display_name":"Gen Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gen Liu","raw_affiliation_strings":["Shandong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129657850","display_name":"Chao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["Shandong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129374161","display_name":"Qingtian Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingtian Zeng","raw_affiliation_strings":["Shandong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129684728","display_name":"Hui Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhou","raw_affiliation_strings":["Shandong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125745108","display_name":"Zhongying Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongying Zhao","raw_affiliation_strings":["Shandong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University of Science and Technology","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"19","first_page":"15968","last_page":"15976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9868000149726868,"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":0.9868000149726868,"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":0.002300000051036477,"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/T10057","display_name":"Face and Expression Recognition","score":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5978999733924866},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.4702000021934509},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.3666999936103821},{"id":"https://openalex.org/keywords/dual-graph","display_name":"Dual graph","score":0.3515999913215637},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.3513999879360199},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.33239999413490295},{"id":"https://openalex.org/keywords/graph-property","display_name":"Graph property","score":0.32510000467300415},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3165000081062317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5993000268936157},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5978999733924866},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47290000319480896},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.4702000021934509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4657999873161316},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C169827030","wikidata":"https://www.wikidata.org/wiki/Q2294516","display_name":"Dual graph","level":4,"score":0.3515999913215637},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33629998564720154},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.32510000467300415},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.30059999227523804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27869999408721924},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C17169500","wikidata":"https://www.wikidata.org/wiki/Q3033506","display_name":"Null graph","level":5,"score":0.26969999074935913},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.262800008058548},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2549000084400177}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i19.38630","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i19.38630","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38630/42592","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38630","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i19.38630","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i19.38630","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38630/42592","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6518880128860474,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4353863251","display_name":null,"funder_award_id":"52374221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4724525942","display_name":null,"funder_award_id":"ZR2024MF034","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8630854039","display_name":null,"funder_award_id":"62472263","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7137837239.pdf","grobid_xml":"https://content.openalex.org/works/W7137837239.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Graph":[0,15],"Structure":[1],"Learning":[2],"(GSL)":[3],"aims":[4],"to":[5,26,37,97,127],"simultaneously":[6],"enhance":[7],"the":[8,12,39,47,100,107,113,146,150,161],"original":[9],"graph":[10,40,58,82,93,102],"and":[11,112,173],"performance":[13],"of":[14,49,109,115,149,171],"Neural":[16],"Networks.":[17],"However,":[18],"existing":[19],"GSL":[20,73],"methods":[21,51,167],"for":[22,75,85],"node":[23,76,86],"classification":[24,87],"fail":[25],"consider":[27],"neighborhood":[28,110,130],"label":[29,131],"dependencies":[30],"during":[31],"training,":[32],"which":[33],"limits":[34],"their":[35],"ability":[36],"refine":[38],"structure":[41,59,83,94],"in":[42,169],"an":[43],"adaptive":[44],"manner.":[45],"Furthermore,":[46],"training":[48],"those":[50],"lacks":[52],"a":[53,71,92,118,138],"proper":[54],"schedule":[55],"based":[56],"on":[57,156],"quality,":[60],"thereby":[61],"yielding":[62],"suboptimal":[63,101],"performance.":[64],"To":[65],"address":[66],"these":[67],"challenges,":[68],"we":[69],"propose":[70],"novel":[72],"framework":[74],"classification,":[77],"termed":[78],"DuAl":[79],"hypeRgraph-enhanced":[80],"curricuLum-guided":[81],"learnING":[84],"(DARLING).":[88],"It":[89],"first":[90],"introduces":[91],"curriculum":[95],"module":[96,124],"effectively":[98],"discriminate":[99],"structures":[103],"by":[104],"examining":[105],"both":[106],"distribution":[108],"labels":[111],"degree":[114],"nodes.":[116],"Subsequently,":[117],"self-supervised":[119],"dual":[120,147],"hypergraph":[121,148],"similarity":[122],"learning":[123],"is":[125,134],"proposed":[126,162],"capture":[128],"higher-order":[129],"dependencies.":[132],"This":[133],"achieved":[135],"via":[136],"formulating":[137],"pre-training":[139],"task":[140],"that":[141,160],"involves":[142],"hyperedge":[143],"batch-filling":[144],"within":[145],"input":[151],"graph.":[152],"The":[153],"experimental":[154],"results":[155],"six":[157],"datasets":[158],"demonstrate":[159],"DARLING":[163],"outperforms":[164],"eleven":[165],"state-of-the-art":[166],"significantly,":[168],"terms":[170],"effectiveness":[172],"robustness.":[174]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-18T00:00:00"}