{"id":"https://openalex.org/W4293208537","doi":"https://doi.org/10.1109/tetci.2022.3156044","title":"Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network","display_name":"Attraction and Repulsion: Unsupervised Domain Adaptive Graph Contrastive Learning Network","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W4293208537","doi":"https://doi.org/10.1109/tetci.2022.3156044"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2022.3156044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2022.3156044","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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/A5026669797","display_name":"Man Wu","orcid":"https://orcid.org/0000-0002-8459-2028"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Man Wu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008056593","display_name":"Shirui Pan","orcid":"https://orcid.org/0000-0003-0794-527X"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shirui Pan","raw_affiliation_strings":["Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084641325","display_name":"Xingquan Zhu","orcid":"https://orcid.org/0000-0003-4129-9611"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingquan Zhu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026669797"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":null,"apc_paid":null,"fwci":3.5853,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93682658,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":"5","first_page":"1079","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9613000154495239,"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":0.9319000244140625,"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":0.5953344702720642},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5615834593772888},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5296463966369629},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4957078695297241},{"id":"https://openalex.org/keywords/graph-property","display_name":"Graph property","score":0.46372362971305847},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4571341276168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43503594398498535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33043134212493896},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.27306240797042847},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.18892982602119446}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5953344702720642},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5615834593772888},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5296463966369629},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4957078695297241},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.46372362971305847},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4571341276168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43503594398498535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33043134212493896},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.27306240797042847},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.18892982602119446}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tetci.2022.3156044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2022.3156044","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/417110","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/417110","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G159379833","display_name":null,"funder_award_id":"IIS-2027339","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G1858138836","display_name":null,"funder_award_id":"IIS-1763452","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G6537324569","display_name":null,"funder_award_id":"CNS-1828181","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1617650991","https://openalex.org/W1731081199","https://openalex.org/W1882958252","https://openalex.org/W1888005072","https://openalex.org/W2022322548","https://openalex.org/W2111362445","https://openalex.org/W2122925692","https://openalex.org/W2150846797","https://openalex.org/W2154851992","https://openalex.org/W2187089797","https://openalex.org/W2261310161","https://openalex.org/W2593768305","https://openalex.org/W2788284887","https://openalex.org/W2798405286","https://openalex.org/W2803832867","https://openalex.org/W2804211749","https://openalex.org/W2808087697","https://openalex.org/W2887997457","https://openalex.org/W2890479120","https://openalex.org/W2899771611","https://openalex.org/W2907492528","https://openalex.org/W2946117866","https://openalex.org/W2964015378","https://openalex.org/W2965115497","https://openalex.org/W2972894903","https://openalex.org/W2997964288","https://openalex.org/W2998115938","https://openalex.org/W3012644407","https://openalex.org/W3014788410","https://openalex.org/W3033623365","https://openalex.org/W3099887033","https://openalex.org/W3104097132","https://openalex.org/W3114632476","https://openalex.org/W3133518153","https://openalex.org/W3134210100","https://openalex.org/W3181189986","https://openalex.org/W3190214286","https://openalex.org/W4226144843","https://openalex.org/W4285723986","https://openalex.org/W4294558607","https://openalex.org/W4309125007","https://openalex.org/W6633949838","https://openalex.org/W6636267554","https://openalex.org/W6639480849","https://openalex.org/W6677069268","https://openalex.org/W6692729736","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6752051073","https://openalex.org/W6754278344","https://openalex.org/W6755573351","https://openalex.org/W6762584928","https://openalex.org/W6766952790"],"related_works":["https://openalex.org/W2556319748","https://openalex.org/W3087493185","https://openalex.org/W4206762304","https://openalex.org/W2891961174","https://openalex.org/W2471138382","https://openalex.org/W4200632554","https://openalex.org/W4226127995","https://openalex.org/W4312256146","https://openalex.org/W3051479560","https://openalex.org/W4385568031"],"abstract_inverted_index":{"Graph":[0,54],"convolutional":[1],"networks":[2],"(GCNs)":[3],"are":[4,18,26,153],"important":[5],"techniques":[6],"for":[7,20,59],"analytics":[8],"tasks":[9],"related":[10],"to":[11,36,69,96,99,143,155],"graph":[12,23,40,47,63,78,83,127,132,157,164,171,220],"data.":[13],"To":[14],"date,":[15],"most":[16],"GCNs":[17],"designed":[19],"a":[21,52,107,148,198],"single":[22,77],"domain.":[24],"They":[25],"incapable":[27],"of":[28,102],"transferring":[29],"knowledge":[30,207],"from/to":[31],"different":[32],"domains":[33,142,158],"(graphs),":[34],"due":[35],"the":[37,103],"limitation":[38],"in":[39],"representation":[41,101],"learning":[42,173,201],"and":[43,72,80,169,186,193],"domain":[44,61],"adaptation":[45],"across":[46,81],"domains.":[48,84],"This":[49],"paper":[50],"proposes":[51],"novel":[53],"Contrastive":[55],"Learning":[56],"Network":[57],"(GCLN)":[58],"unsupervised":[60],"adaptive":[62],"learning.":[64],"The":[65,167],"key":[66],"innovation":[67],"is":[68,174,204],"enforce":[70],"attraction":[71,89,135],"repulsion":[73,108,149],"forces":[74],"within":[75],"each":[76,86],"domain,":[79],"two":[82,131,141],"Within":[85],"graph,":[87,105],"an":[88,134,179],"force":[90,109,136,150],"encourages":[91,137],"local":[92],"patch":[93],"node":[94,112,138],"features":[95,113,139,152],"be":[97,144],"similar":[98],"global":[100],"entire":[104],"whereas":[106,147],"will":[110],"repel":[111],"so":[114],"they":[115],"can":[116],"separate":[117],"network":[118,222],"from":[119,140,202],"its":[120],"permutations":[121],"(":[122,159],"<italic":[123,160],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[124,161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e.</i>":[125,162],"domain-specific":[126,190],"contrastive":[128,165,172,191,195],"learning).":[129,166],"Across":[130],"domains,":[133],"largely":[145],"consistent,":[146],"ensures":[151],"discriminative":[154],"differentiate":[156],"cross-domain":[163,170,194],"within-":[168],"carried":[175],"out":[176],"by":[177],"optimizing":[178],"objective":[180],"function,":[181],"which":[182],"combines":[183],"source":[184],"classifier":[185,188],"target":[187],"loss,":[189,192],"loss.":[196],"As":[197],"result,":[199],"feature":[200],"graphs":[203],"facilitated":[205],"using":[206],"transferred":[208],"between":[209],"graphs.":[210],"Experiments":[211],"on":[212],"real-world":[213],"datasets":[214],"demonstrate":[215],"that":[216],"GCLN":[217],"outperforms":[218],"state-of-the-art":[219],"neural":[221],"algorithms.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}