{"id":"https://openalex.org/W4403028789","doi":"https://doi.org/10.1145/3698193","title":"MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations","display_name":"MCAP: Low-Pass GNNs with Matrix Completion for Academic Recommendations","publication_year":2024,"publication_date":"2024-10-01","ids":{"openalex":"https://openalex.org/W4403028789","doi":"https://doi.org/10.1145/3698193"},"language":"en","primary_location":{"id":"doi:10.1145/3698193","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3698193","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information 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/A5040000956","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0003-1115-3945"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Department of Computer Science and Technology, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102023520","display_name":"Shaojie Zheng","orcid":"https://orcid.org/0000-0002-7833-1497"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojie Zheng","raw_affiliation_strings":["Yanshan University, Qinghuangdao, China","Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University, Qinghuangdao, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034415838","display_name":"Yifan Zhu","orcid":"https://orcid.org/0000-0002-7695-1633"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China","Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100557105","display_name":"Huihui Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huihui Yuan","raw_affiliation_strings":["Zhipu.AI, Beijing, China","Zhipu.AI, China"],"affiliations":[{"raw_affiliation_string":"Zhipu.AI, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Zhipu.AI, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665611","display_name":"Jibing Gong","orcid":"https://orcid.org/0000-0003-4449-5845"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jibing Gong","raw_affiliation_strings":["Yanshan University, Qinghuangdao, China","Yanshan University, China"],"affiliations":[{"raw_affiliation_string":"Yanshan University, Qinghuangdao, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Yanshan University, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044791875","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0003-3487-4593"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tang","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Department of Computer Science and Technology, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5040000956"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":4.071,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.94578127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"43","issue":"2","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9962999820709229,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.39118492603302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.370941698551178},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.3281218707561493},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23911279439926147}],"concepts":[{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.39118492603302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.370941698551178},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.3281218707561493},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23911279439926147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3698193","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3698193","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W52770770","https://openalex.org/W1480013115","https://openalex.org/W2022322548","https://openalex.org/W2079484991","https://openalex.org/W2086402713","https://openalex.org/W2125027820","https://openalex.org/W2343644403","https://openalex.org/W2511581020","https://openalex.org/W2512862346","https://openalex.org/W2605350416","https://openalex.org/W2807021761","https://openalex.org/W2899457523","https://openalex.org/W2905101140","https://openalex.org/W2907262778","https://openalex.org/W2911286998","https://openalex.org/W2913560138","https://openalex.org/W2914721378","https://openalex.org/W2918008835","https://openalex.org/W2945266622","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2951050019","https://openalex.org/W2963367478","https://openalex.org/W2964926209","https://openalex.org/W2970641574","https://openalex.org/W2979068607","https://openalex.org/W2997059287","https://openalex.org/W2998431760","https://openalex.org/W2998496395","https://openalex.org/W3012871709","https://openalex.org/W3034329572","https://openalex.org/W3035143414","https://openalex.org/W3035661448","https://openalex.org/W3045200674","https://openalex.org/W3080152140","https://openalex.org/W3097982973","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3101707147","https://openalex.org/W3106439716","https://openalex.org/W3152507709","https://openalex.org/W3155097957","https://openalex.org/W3155316532","https://openalex.org/W3156861396","https://openalex.org/W3164006073","https://openalex.org/W3164473340","https://openalex.org/W3171249018","https://openalex.org/W3189626311","https://openalex.org/W3208227120","https://openalex.org/W3211143493","https://openalex.org/W3213184433","https://openalex.org/W4213069590","https://openalex.org/W4220909642","https://openalex.org/W4233384665","https://openalex.org/W4285378361","https://openalex.org/W4289533951","https://openalex.org/W4290877962","https://openalex.org/W4367047431","https://openalex.org/W4382203404","https://openalex.org/W4384641439","https://openalex.org/W4385567578","https://openalex.org/W4385893887","https://openalex.org/W4386576685","https://openalex.org/W4386798394","https://openalex.org/W4387841511","https://openalex.org/W4387848724","https://openalex.org/W4391376193","https://openalex.org/W4392223764","https://openalex.org/W4400880042","https://openalex.org/W4401856724","https://openalex.org/W4402667014","https://openalex.org/W6743837088"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Graph":[0],"neural":[1],"networks":[2,32],"(GNNs)":[3],"are":[4,151],"commonly":[5],"used":[6],"and":[7,36,44,73,106,113,137,148,162,183,188,207,212],"have":[8],"shown":[9],"promising":[10],"performance":[11],"in":[12,202],"recommendation":[13,48],"systems.":[14],"A":[15],"major":[16],"branch,":[17],"heterogeneous":[18,21],"GNNs,":[19],"models":[20,134,140,156,201],"information":[22,26,128,190],"by":[23,96,125],"leveraging":[24],"side":[25,127,189],"for":[27,42,220],"academic":[28,82,166,178],"paper":[29,83,167],"recommendations.":[30,84,168],"These":[31],"use":[33],"message":[34],"passing":[35],"high-order":[37,51],"propagation":[38,76],"to":[39,54,80,91,157,164],"learn":[40,92],"representations":[41,159],"users":[43,161],"items.":[45,110],"However,":[46],"existing":[47,154],"methods":[49],"perform":[50],"propagation,":[52],"leading":[53],"sub-optimal":[55],"representation":[56],"learning.":[57],"To":[58,111],"address":[59],"this":[60,62],"issue,":[61],"article":[63],"proposes":[64],"a":[65,98],"framework":[66,86],"called":[67],"MCAP,":[68],"which":[69],"uses":[70,87],"relation-aware":[71,146],"GNNs":[72],"executes":[74],"low-pass":[75],"with":[77,185,209],"matrix":[78],"completion":[79],"enhance":[81,165],"The":[85,169,218],"an":[88,121],"attention":[89],"mechanism":[90],"top-":[93],"\\(U\\)":[94],"relationships":[95],"constructing":[97],"user\u2013user":[99,147],"relation":[100,123],"graph":[101,124],"based":[102],"on":[103,214],"common":[104],"authors":[105],"venues":[107],"from":[108],"interacted":[109],"efficiently":[112],"effectively":[114],"capture":[115],"semantic-aware":[116],"similar":[117],"items,":[118],"MCAP":[119,173,198,221],"builds":[120],"item\u2013item":[122,149],"fusing":[126],"of":[129,160,171,191,204],"papers":[130,163],"using":[131,176],"text":[132],"embedding":[133],"(e.g.,":[135,141],"Mistral)":[136],"large":[138],"language":[139],"GPT-3.5-Turbo,":[142],"GLM-4).":[143],"Finally,":[144],"the":[145,172,197,215],"graphs":[150],"incorporated":[152],"into":[153],"GNN-based":[155],"generate":[158],"effectiveness":[170],"is":[174,222],"validated":[175],"four":[177],"datasets,":[179],"AMiner-PC,":[180],"AMiner-WeChat,":[181],"CiteULike,":[182],"DBLP,":[184],"user\u2013item":[186],"interactions":[187],"papers.":[192],"Comprehensive":[193],"experiments":[194],"show":[195],"that":[196],"outperforms":[199],"state-of-the-art":[200],"terms":[203],"Recall@5,":[205],"NDCG@5,":[206],"HR@5":[208],"69.2%,":[210],"70.5%,":[211],"77.6%":[213],"AMiner-WeChat":[216],"dataset.":[217],"code":[219],"available":[223],"at":[224],"https://github.com/THUDM/MCAP":[225],".":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}