{"id":"https://openalex.org/W4410226405","doi":"https://doi.org/10.1109/tkde.2025.3568709","title":"Hypergraph Convolutional Networks for Course Recommendation in MOOCs","display_name":"Hypergraph Convolutional Networks for Course Recommendation in MOOCs","publication_year":2025,"publication_date":"2025-05-09","ids":{"openalex":"https://openalex.org/W4410226405","doi":"https://doi.org/10.1109/tkde.2025.3568709"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3568709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3568709","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/A5102206440","display_name":"Zhu Su","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu Su","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016612892","display_name":"Yafeng Li","orcid":"https://orcid.org/0000-0003-1047-8561"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafeng Li","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-6168-8430"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102634150","display_name":"Zhonghua Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghua Yan","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100941001","display_name":"Longfeng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longfeng Zhao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;An, China","Northwestern Polytechnical University, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;An, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhi Liu","orcid":"https://orcid.org/0000-0001-5024-9056"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Liu","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058426743","display_name":"Jianwen Sun","orcid":"https://orcid.org/0000-0002-0951-1072"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Sun","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065669497","display_name":"Sannyuya Liu","orcid":"https://orcid.org/0000-0002-4926-3720"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sannyuya Liu","raw_affiliation_strings":["National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and The Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"National Engineering Research Center of Educational Big Data and the Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102206440"],"corresponding_institution_ids":["https://openalex.org/I40963666"],"apc_list":null,"apc_paid":null,"fwci":11.3262,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98153168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"37","issue":"8","first_page":"4691","last_page":"4703"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9969000220298767,"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":0.9969000220298767,"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/T14025","display_name":"Educational Technology and Assessment","score":0.9480999708175659,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9046000242233276,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8504601120948792},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6968176960945129},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.48164382576942444},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3915899693965912},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3599582612514496},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0780026912689209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8504601120948792},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6968176960945129},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.48164382576942444},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3915899693965912},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3599582612514496},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0780026912689209},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3568709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3568709","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":[{"id":"https://openalex.org/G3102977780","display_name":null,"funder_award_id":"62293552","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3212910860","display_name":null,"funder_award_id":"71901171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4712315907","display_name":null,"funder_award_id":"62437002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5034121184","display_name":null,"funder_award_id":"62377022","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2096563449","https://openalex.org/W2130354913","https://openalex.org/W2140310134","https://openalex.org/W2605350416","https://openalex.org/W2743154034","https://openalex.org/W2744779260","https://openalex.org/W2770774058","https://openalex.org/W2792342885","https://openalex.org/W2892880750","https://openalex.org/W2905798893","https://openalex.org/W2911286998","https://openalex.org/W2937859871","https://openalex.org/W2945827670","https://openalex.org/W2951217911","https://openalex.org/W2963015609","https://openalex.org/W2963017945","https://openalex.org/W2965955341","https://openalex.org/W2966720510","https://openalex.org/W2972470948","https://openalex.org/W2986416218","https://openalex.org/W3004150749","https://openalex.org/W3035666843","https://openalex.org/W3045200674","https://openalex.org/W3071031014","https://openalex.org/W3080566854","https://openalex.org/W3085990079","https://openalex.org/W3092417132","https://openalex.org/W3122861169","https://openalex.org/W3155496675","https://openalex.org/W3208227120","https://openalex.org/W3209428314","https://openalex.org/W4224298731","https://openalex.org/W4224983022","https://openalex.org/W4249904861","https://openalex.org/W4285606137","https://openalex.org/W4289433255","https://openalex.org/W4293372941","https://openalex.org/W4309229679","https://openalex.org/W4313063193","https://openalex.org/W4318812141","https://openalex.org/W4324387511"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998"],"abstract_inverted_index":{"Mining":[0],"learner":[1,78,85],"preferences":[2],"and":[3,30,42,77,84,125],"needs":[4],"from":[5,117],"individual":[6],"learning":[7],"behavior":[8],"data":[9],"is":[10],"a":[11,56],"critical":[12],"task":[13],"in":[14,24,141],"course":[15,76,82,142],"recommendation":[16,143],"systems.":[17],"While":[18],"graph-based":[19],"models":[20],"have":[21],"shown":[22],"efficacy":[23],"capturing":[25],"pairwise":[26],"relationships":[27,98],"between":[28],"learners":[29,124],"courses,":[31],"they":[32],"often":[33],"overlook":[34],"the":[35,95,109],"complex":[36],"higher-order":[37,70,97],"interactions":[38,71],"involving":[39],"learners,":[40],"courses":[41],"teachers":[43],"that":[44,134],"are":[45],"essential":[46],"for":[47,61],"accurate":[48],"recommendations.":[49],"To":[50],"address":[51],"this":[52],"limitation,":[53],"we":[54,93,103],"propose":[55],"novel":[57],"Hypergraph":[58],"Convolutional":[59],"Network":[60],"Course":[62],"Recommendation":[63],"(HCNCR)":[64],"framework,":[65],"designed":[66],"to":[67,113],"model":[68],"these":[69,100],"effectively.":[72],"Our":[73],"approach":[74],"constructs":[75],"hypergraphs":[79],"based":[80],"on":[81,108,130],"attributes":[83],"similarity":[86],"relations,":[87],"respectively.":[88],"By":[89],"employing":[90],"hypergraph":[91],"convolution,":[92],"capture":[94],"intrinsic":[96],"within":[99],"hypergraphs.":[101],"Additionally,":[102],"utilize":[104],"graph":[105,112],"convolutional":[106],"layers":[107],"learner-course":[110],"bipartite":[111],"integrate":[114],"embeddings":[115],"derived":[116],"hypergraphs,":[118],"achieving":[119],"comprehensive":[120],"representations":[121],"of":[122],"both":[123],"courses.":[126],"Extensive":[127],"experiments":[128],"conducted":[129],"real-world":[131],"datasets":[132],"demonstrate":[133],"HCNCR":[135],"significantly":[136],"outperforms":[137],"existing":[138],"state-of-the-art":[139],"methods":[140],"tasks.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
