{"id":"https://openalex.org/W4401443396","doi":"https://doi.org/10.1109/tkde.2024.3435861","title":"Hyperedge Graph Contrastive Learning","display_name":"Hyperedge Graph Contrastive Learning","publication_year":2024,"publication_date":"2024-08-09","ids":{"openalex":"https://openalex.org/W4401443396","doi":"https://doi.org/10.1109/tkde.2024.3435861"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2024.3435861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3435861","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/A5100427775","display_name":"Junfeng Zhang","orcid":"https://orcid.org/0000-0001-8574-0793"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfeng Zhang","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039575548","display_name":"Weixin Zeng","orcid":"https://orcid.org/0000-0002-2690-3190"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixin Zeng","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2690-3190","affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102717976","display_name":"Jiuyang Tang","orcid":"https://orcid.org/0009-0005-1786-9831"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiuyang Tang","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014937762","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-6339-0219"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Zhao","raw_affiliation_strings":["Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-6339-0219","affiliations":[{"raw_affiliation_string":"Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":3.0563,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.92366816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"36","issue":"12","first_page":"8502","last_page":"8514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9990000128746033,"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":0.9990000128746033,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9937999844551086,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9846000075340271,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7547141313552856},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.7262682914733887},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7064859867095947},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5901581645011902},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5896205902099609},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5888798832893372},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.5096313953399658},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.44906535744667053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35903048515319824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3465540409088135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7547141313552856},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.7262682914733887},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7064859867095947},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5901581645011902},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5896205902099609},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5888798832893372},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.5096313953399658},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.44906535744667053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35903048515319824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3465540409088135},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2024.3435861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2024.3435861","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/G1799500167","display_name":null,"funder_award_id":"62302513","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3188578225","display_name":null,"funder_award_id":"U23A20296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8218347068","display_name":null,"funder_award_id":"62272469","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W950821216","https://openalex.org/W1591801644","https://openalex.org/W1854214752","https://openalex.org/W2125493559","https://openalex.org/W2161728285","https://openalex.org/W2163922914","https://openalex.org/W2250539671","https://openalex.org/W2618530766","https://openalex.org/W2768375068","https://openalex.org/W2787927827","https://openalex.org/W2892880750","https://openalex.org/W2900470550","https://openalex.org/W2911286998","https://openalex.org/W2951936974","https://openalex.org/W2962711740","https://openalex.org/W2964015378","https://openalex.org/W2966445777","https://openalex.org/W2966720510","https://openalex.org/W3012816161","https://openalex.org/W3030216914","https://openalex.org/W3033039844","https://openalex.org/W3035725276","https://openalex.org/W3088751026","https://openalex.org/W3095746859","https://openalex.org/W3104355095","https://openalex.org/W3120618935","https://openalex.org/W3121452939","https://openalex.org/W3132869322","https://openalex.org/W3133744637","https://openalex.org/W3153673236","https://openalex.org/W3154503084","https://openalex.org/W3157819612","https://openalex.org/W3168925038","https://openalex.org/W3174022889","https://openalex.org/W3190214286","https://openalex.org/W3202695635","https://openalex.org/W4221155002","https://openalex.org/W4282926996","https://openalex.org/W4283796586","https://openalex.org/W4287328627","https://openalex.org/W4287726895","https://openalex.org/W4290876361","https://openalex.org/W4291474301","https://openalex.org/W4297733535","https://openalex.org/W4304699816","https://openalex.org/W4312090616","https://openalex.org/W4322614756","https://openalex.org/W4367000428","https://openalex.org/W4379644927","https://openalex.org/W4388267487","https://openalex.org/W4393905484","https://openalex.org/W6635446068","https://openalex.org/W6639055396","https://openalex.org/W6685083254","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6745537798","https://openalex.org/W6754929296","https://openalex.org/W6755573351","https://openalex.org/W6756561102","https://openalex.org/W6762003241","https://openalex.org/W6771932116","https://openalex.org/W6776488958","https://openalex.org/W6779518175","https://openalex.org/W6779940601","https://openalex.org/W6780489652","https://openalex.org/W6783510090","https://openalex.org/W6784694379","https://openalex.org/W6790763814","https://openalex.org/W6803865595","https://openalex.org/W6845534289","https://openalex.org/W6846603098","https://openalex.org/W6850057380","https://openalex.org/W6851949647","https://openalex.org/W6863934144"],"related_works":["https://openalex.org/W2154222238","https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2002053721","https://openalex.org/W2487162673","https://openalex.org/W1557094818","https://openalex.org/W2001641889"],"abstract_inverted_index":{"Although":[0],"various":[1],"graph":[2,186,189],"contrastive":[3,190],"learning":[4],"(GCL)":[5],"techniques":[6],"have":[7],"been":[8],"employed":[9],"to":[10,52,55,97,102],"generate":[11,36,98],"augmented":[12,39,99],"views":[13,40,122],"and":[14,41,65,91,125,138,173,188],"maximize":[15],"their":[16],"mutual":[17],"information,":[18],"current":[19],"solutions":[20],"only":[21],"consider":[22],"the":[23,30,80,103,114,118,132,136,153,160,174,178,194,197],"pairwise":[24],"relationships":[25,69],"based":[26,78,88,94,140],"on":[27,79,89,95,141,170,185],"edges,":[28],"neglecting":[29],"high-order":[31,68],"information":[32],"that":[33,111],"can":[34,66],"help":[35],"more":[37,63],"informative":[38],"make":[42],"better":[43],"contrast.":[44],"To":[45],"fill":[46],"in":[47,120],"this":[48],"gap,":[49],"we":[50,84,134],"propose":[51],"leverage":[53],"hyperedge":[54,165],"facilitate":[56],"GCL,":[57],"as":[58,123],"it":[59,157],"connects":[60],"two":[61],"or":[62],"nodes":[64,96,116,128],"model":[67],"among":[70],"multiple":[71],"nodes.":[72],"More":[73],"specifically,":[74],"hyperedges":[75,90,156],"are":[76],"constructed":[77],"original":[81],"graph.":[82],"Then,":[83],"conduct":[85],"node-level":[86],"PageRank":[87,93],"hyperedge-level":[92],"views.":[100],"As":[101],"contrasting":[104],"stage,":[105],"different":[106,121],"from":[107],"existing":[108],"GCL":[109,166],"methods":[110,169],"simply":[112],"treat":[113],"corresponding":[115],"of":[117,155,180,196],"anchor":[119],"positives":[124,137],"overlook":[126],"certain":[127],"strongly":[129],"associated":[130],"with":[131,159,167],"anchor,":[133],"build":[135],"negatives":[139],"hyperedges,":[142],"where":[143],"whether":[144],"a":[145,148],"node":[146],"is":[147,150],"positive":[149],"determined":[151],"by":[152],"number":[154],"coexists":[158],"anchor.":[161],"We":[162],"compare":[163],"our":[164,181],"state-of-the-art":[168],"downstream":[171],"tasks,":[172],"empirical":[175],"results":[176],"validate":[177],"superiority":[179],"proposal.":[182],"Further":[183],"experiments":[184],"augmentation":[187],"loss":[191],"also":[192],"demonstrate":[193],"effectiveness":[195],"proposed":[198],"modules.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}