{"id":"https://openalex.org/W4405073635","doi":"https://doi.org/10.1145/3706115","title":"Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning","display_name":"Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning","publication_year":2024,"publication_date":"2024-12-05","ids":{"openalex":"https://openalex.org/W4405073635","doi":"https://doi.org/10.1145/3706115"},"language":"en","primary_location":{"id":"doi:10.1145/3706115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706115","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3706115","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089719727","display_name":"Cuiying Huo","orcid":"https://orcid.org/0000-0003-4914-4577"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cuiying Huo","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009013876","display_name":"Dongxiao He","orcid":"https://orcid.org/0000-0002-1915-4179"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiao He","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633550","display_name":"Yawen Li","orcid":"https://orcid.org/0000-0003-0180-3318"},"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":"Yawen Li","raw_affiliation_strings":["School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China","School of Economics and Management, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"School of Economics and Management, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012455357","display_name":"Di Jin","orcid":"https://orcid.org/0000-0002-7445-9936"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Jin","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University, Tianjin, China","College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017251198","display_name":"Jianwu Dang","orcid":"https://orcid.org/0000-0002-9237-4821"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwu Dang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","College of Intelligence and Computing, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","Department of Electrical and Computer Engineering, University of Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478122","display_name":"Lingfei Wu","orcid":"https://orcid.org/0009-0008-8081-6275"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingfei Wu","raw_affiliation_strings":["Anytime.AI, New York, NY, USA","Anytime.AI, USA"],"affiliations":[{"raw_affiliation_string":"Anytime.AI, New York, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Anytime.AI, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068659777","display_name":"Weixiong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weixiong Zhang","raw_affiliation_strings":["Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China","Dept of Health Technology and Informatics, The Hong Kong Polytechnic University, China"],"affiliations":[{"raw_affiliation_string":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept of Health Technology and Informatics, The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5089719727"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":3.415,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93528299,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"1","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9854999780654907,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8366252183914185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5587133169174194},{"id":"https://openalex.org/keywords/topological-graph-theory","display_name":"Topological graph theory","score":0.5374112725257874},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5342088937759399},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5074459910392761},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49398714303970337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46732085943222046},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46593326330184937},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3408887982368469},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.15688768029212952},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.12280204892158508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8366252183914185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5587133169174194},{"id":"https://openalex.org/C157406716","wikidata":"https://www.wikidata.org/wiki/Q4115842","display_name":"Topological graph theory","level":5,"score":0.5374112725257874},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5342088937759399},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5074459910392761},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49398714303970337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46732085943222046},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46593326330184937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3408887982368469},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.15688768029212952},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.12280204892158508},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706115","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3706115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706115","source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8798432344","display_name":null,"funder_award_id":"No. 92370111, No. 62422210, No. 62272340, and No. 62276187","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405073635.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W2023026264","https://openalex.org/W2075010670","https://openalex.org/W2105824580","https://openalex.org/W2519887557","https://openalex.org/W2624431344","https://openalex.org/W2736776866","https://openalex.org/W2743104969","https://openalex.org/W2896457183","https://openalex.org/W2903634148","https://openalex.org/W2951626319","https://openalex.org/W2952343887","https://openalex.org/W2963919031","https://openalex.org/W2975059944","https://openalex.org/W2987283559","https://openalex.org/W3004507689","https://openalex.org/W3005680577","https://openalex.org/W3012816161","https://openalex.org/W3012871709","https://openalex.org/W3016163458","https://openalex.org/W3035719901","https://openalex.org/W3036106327","https://openalex.org/W3099152386","https://openalex.org/W3111440465","https://openalex.org/W3114303065","https://openalex.org/W3154503084","https://openalex.org/W3155886566","https://openalex.org/W3160900410","https://openalex.org/W3163899735","https://openalex.org/W3166423611","https://openalex.org/W3172710079","https://openalex.org/W3173025631","https://openalex.org/W3175971420","https://openalex.org/W3190214286","https://openalex.org/W3209752990","https://openalex.org/W4206445139","https://openalex.org/W4206776774","https://openalex.org/W4223472728","https://openalex.org/W4285378361","https://openalex.org/W4285605593","https://openalex.org/W4403331606","https://openalex.org/W6745537798","https://openalex.org/W6755573351","https://openalex.org/W6758105487","https://openalex.org/W6766030139","https://openalex.org/W6766892243","https://openalex.org/W6767098714","https://openalex.org/W6784694379","https://openalex.org/W6784711476","https://openalex.org/W6796290526","https://openalex.org/W6910499371"],"related_works":["https://openalex.org/W4205991736","https://openalex.org/W2767597557","https://openalex.org/W3094552683","https://openalex.org/W3211302945","https://openalex.org/W4284975088","https://openalex.org/W4366772049","https://openalex.org/W4386136067","https://openalex.org/W4388486485","https://openalex.org/W4311211767","https://openalex.org/W4387415041"],"abstract_inverted_index":{"Heterogeneous":[0],"graph":[1,86,95,102,119],"neural":[2],"network":[3],"(HGNN)":[4],"is":[5,31],"a":[6,99,127],"popular":[7],"technique":[8],"for":[9,66],"modeling":[10],"and":[11,33,94,118,121,123,146,163,172,191],"analyzing":[12],"heterogeneous":[13,67,101,134,186],"graphs.":[14,135],"Most":[15],"existing":[16,59],"HGNN-based":[17],"approaches":[18],"are":[19,63,155],"supervised":[20],"or":[21,79],"semi-supervised":[22],"learning":[23,37,61,104],"methods":[24,62],"requiring":[25,46],"graphs":[26,68,187],"to":[27,41,131,157,175],"be":[28],"annotated,":[29],"which":[30,108,154],"costly":[32],"time-consuming.":[34],"Self-supervised":[35],"contrastive":[36,60,72,103,129,178],"has":[38],"been":[39],"proposed":[40],"address":[42],"the":[43,54,58,151,189],"problem":[44],"of":[45,115,193],"annotated":[47],"data":[48,77,87],"by":[49,126],"mining":[50,158],"intrinsic":[51],"properties":[52,82],"in":[53,85,91,150,161],"given":[55],"data.":[56],"However,":[57],"not":[64],"suitable":[65,144],"because":[69],"they":[70],"construct":[71,176],"views":[73,111],"only":[74],"based":[75],"on":[76,112,182],"perturbation":[78],"pre-defined":[80],"structural":[81],"(e.g.,":[83],"meta-path)":[84],"while":[88],"ignoring":[89],"noises":[90],"node":[92,116],"attributes":[93,117,162],"topologies.":[96],"We":[97,166],"develop":[98],"robust":[100],"approach,":[105,139],"namely":[106],"HGCL,":[107],"introduces":[109],"two":[110,152],"respective":[113],"guidances":[114],"topologies":[120,164],"integrates":[122],"enhances":[124],"them":[125],"reciprocally":[128],"mechanism":[130],"better":[132],"model":[133],"In":[136],"this":[137],"new":[138],"we":[140],"adopt":[141],"distinct":[142],"but":[143],"attribute":[145,170],"topology":[147],"fusion":[148],"mechanisms":[149],"views,":[153],"conducive":[156],"relevant":[159],"information":[160],"separately.":[165],"further":[167],"use":[168],"both":[169],"similarity":[171],"topological":[173],"correlation":[174],"high-quality":[177],"samples.":[179],"Extensive":[180],"experiments":[181],"four":[183],"large":[184],"real-world":[185],"demonstrate":[188],"superiority":[190],"robustness":[192],"HGCL":[194],"over":[195],"several":[196],"state-of-the-art":[197],"methods.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
