{"id":"https://openalex.org/W4409249325","doi":"https://doi.org/10.1109/tcss.2025.3554594","title":"Multiple Graph Knowledge Tracing Based on LSTM-Attention Hypergraph Convolution and Forgetting Effect","display_name":"Multiple Graph Knowledge Tracing Based on LSTM-Attention Hypergraph Convolution and Forgetting Effect","publication_year":2025,"publication_date":"2025-04-08","ids":{"openalex":"https://openalex.org/W4409249325","doi":"https://doi.org/10.1109/tcss.2025.3554594"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2025.3554594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3554594","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Computational Social Systems","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/A5065300197","display_name":"Ruichun Kang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruichun Kang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0000-5996-5921","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023188161","display_name":"Xiaoyao Li","orcid":"https://orcid.org/0000-0002-4600-1215"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyao Li","raw_affiliation_strings":["College of Advanced Interdisciplinary Studies, Central South University of Forestry and Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4600-1215","affiliations":[{"raw_affiliation_string":"College of Advanced Interdisciplinary Studies, Central South University of Forestry and Technology, Changsha, China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guiyao Liu","orcid":"https://orcid.org/0009-0006-4738-3872"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyao Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0006-4738-3872","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021456390","display_name":"Lianhong Wang","orcid":"https://orcid.org/0000-0001-8016-3042"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhong Wang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-8016-3042","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065300197"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02916265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"6","first_page":"4281","last_page":"4293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.953499972820282,"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":0.953499972820282,"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":0.9350000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7266173362731934},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7264935970306396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6313040256500244},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.6100524663925171},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5685096383094788},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5608108043670654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43242335319519043},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4266932010650635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22893249988555908},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.2120235562324524},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18018579483032227},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.15144389867782593},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08203661441802979},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07374650239944458}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7266173362731934},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7264935970306396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6313040256500244},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.6100524663925171},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5685096383094788},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5608108043670654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43242335319519043},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4266932010650635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22893249988555908},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.2120235562324524},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18018579483032227},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.15144389867782593},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08203661441802979},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07374650239944458}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2025.3554594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3554594","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G4832435427","display_name":null,"funder_award_id":"62377010","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":30,"referenced_works":["https://openalex.org/W2015040676","https://openalex.org/W2016288462","https://openalex.org/W2116341502","https://openalex.org/W2170057991","https://openalex.org/W2559094423","https://openalex.org/W2587290924","https://openalex.org/W2805035427","https://openalex.org/W2892880750","https://openalex.org/W2913933519","https://openalex.org/W2966684417","https://openalex.org/W3034854756","https://openalex.org/W3043869244","https://openalex.org/W3080566854","https://openalex.org/W3104355095","https://openalex.org/W3117062170","https://openalex.org/W3134371412","https://openalex.org/W3165215982","https://openalex.org/W3197400233","https://openalex.org/W4282921621","https://openalex.org/W4295788921","https://openalex.org/W4307561542","https://openalex.org/W4313134110","https://openalex.org/W4313398922","https://openalex.org/W4383874666","https://openalex.org/W4385627485","https://openalex.org/W4390105690","https://openalex.org/W4392904715","https://openalex.org/W4392969629","https://openalex.org/W4404306634","https://openalex.org/W4407811668"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W4289718052","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W2164121020","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998","https://openalex.org/W2963081352"],"abstract_inverted_index":{"Due":[0],"to":[1,115,136],"the":[2,22,42,50,55,61,76,96,155,159],"great":[3],"potential":[4],"of":[5,25,52,57,63,101,161],"online":[6],"education":[7],"platforms,":[8],"knowledge":[9,26,79,119],"tracing":[10,21,80],"(KT)":[11],"has":[12],"become":[13],"popular":[14],"in":[15,66,144],"personalized":[16],"learning.":[17],"KT":[18,166],"aims":[19],"at":[20],"dynamic":[23],"change":[24],"state":[27],"over":[28,163],"time":[29],"based":[30],"on":[31,83,150],"student\u2019s":[32,38,67,117],"historical":[33],"learning":[34,68],"trajectory":[35],"and":[36,60,99,103,131,141,154],"predicting":[37],"future":[39],"performance.":[40],"However,":[41],"existing":[43],"methods":[44],"still":[45],"face":[46],"some":[47,164],"challenges,":[48],"including":[49],"ignoring":[51],"forgetting":[53,84,88],"behavior,":[54],"loss":[56],"higher-order":[58,138],"information,":[59],"limit":[62],"pair-wise":[64],"representation":[65],"trajectory.":[69],"To":[70],"address":[71],"these":[72],"issues,":[73],"we":[74,123],"propose":[75],"multiple":[77],"graph":[78,92],"(MGKT).":[81],"Based":[82],"mechanism,":[85],"MGKT":[86,114,135,162],"introduces":[87],"feature":[89],"into":[90],"a":[91,105,125],"convolutional":[93],"network.":[94],"Considering":[95],"topological":[97],"ordering":[98],"relations":[100],"exercise-response":[102],"skill-response,":[104],"dual-channel":[106],"directed":[107],"multigraph":[108],"communication":[109],"module":[110,128],"is":[111],"developed":[112],"for":[113,134],"characterize":[116],"hidden":[118],"states.":[120],"In":[121],"addition,":[122],"design":[124],"hypergraph":[126],"convolution":[127],"with":[129],"LSTM":[130],"attention":[132],"mechanism":[133],"learn":[137],"semantic":[139],"information":[140],"group-wise":[142],"relationship":[143],"hypergraphs.":[145],"Comprehensive":[146],"experiments":[147],"are":[148],"performed":[149],"three":[151],"public":[152],"datasets":[153],"experimental":[156],"results":[157],"demonstrate":[158],"superiority":[160],"state-of-the-art":[165],"models.":[167]},"counts_by_year":[],"updated_date":"2025-12-03T23:09:05.601824","created_date":"2025-10-10T00:00:00"}