{"id":"https://openalex.org/W7138239969","doi":"https://doi.org/10.1609/aaai.v40i27.39420","title":"Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption","display_name":"Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138239969","doi":"https://doi.org/10.1609/aaai.v40i27.39420"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i27.39420","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i27.39420","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i27.39420","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129655751","display_name":"Sunwoo Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunwoo Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129640712","display_name":"Soo Yong Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soo Yong Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127392972","display_name":"Kyungho Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyungho Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129743360","display_name":"Hyunjin Hwang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyunjin Hwang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036321139","display_name":"Jaemin Yoo","orcid":"https://orcid.org/0000-0001-7237-5117"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaemin Yoo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123751569","display_name":"Kijung Shin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kijung Shin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20472923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"27","first_page":"22600","last_page":"22608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9602000117301941,"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":0.9602000117301941,"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":0.013299999758601189,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.007199999876320362,"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/homophily","display_name":"Homophily","score":0.7900000214576721},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6204000115394592},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5684999823570251},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5422999858856201},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5393000245094299},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5285000205039978},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5260000228881836},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43950000405311584}],"concepts":[{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.7900000214576721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008000016212463},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6204000115394592},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5684999823570251},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5393000245094299},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5382999777793884},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5285000205039978},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43950000405311584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4212999939918518},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41780000925064087},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3822999894618988},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.35929998755455017},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C157406716","wikidata":"https://www.wikidata.org/wiki/Q4115842","display_name":"Topological graph theory","level":5,"score":0.34769999980926514},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2980000078678131},{"id":"https://openalex.org/C36382193","wikidata":"https://www.wikidata.org/wiki/Q7068966","display_name":"Null model","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C64339825","wikidata":"https://www.wikidata.org/wiki/Q722659","display_name":"Graph property","level":5,"score":0.27239999175071716},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.26440000534057617}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v40i27.39420","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i27.39420","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/39420","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/39420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/234719","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/234719","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i27.39420","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i27.39420","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3736587842","display_name":null,"funder_award_id":"RS-2019-II190075","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4468082379","display_name":null,"funder_award_id":"RS-2019-II190075","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6088047432","display_name":null,"funder_award_id":"RS-2024-00406985","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324161","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Unsupervised":[0],"node":[1,8,13,31,125,129],"representation":[2],"learning":[3,80],"aims":[4],"to":[5,29,108,127],"obtain":[6],"meaningful":[7],"embeddings":[9,53],"without":[10],"relying":[11],"on":[12,39],"labels.":[14],"To":[15,90],"achieve":[16],"this,":[17,92],"graph":[18,34,40,71,103],"convolution,":[19],"which":[20,96],"aggregates":[21],"information":[22],"from":[23],"neighboring":[24],"nodes,":[25],"is":[26],"commonly":[27],"employed":[28],"encode":[30],"features":[32,60,126],"and":[33,112,131,146],"topology.":[35],"However,":[36],"excessive":[37],"reliance":[38],"convolution":[41,72,104],"can":[42],"be":[43],"suboptimal\u2014especially":[44],"in":[45,58,78,87,115,156],"non-homophilic":[46],"graphs\u2014since":[47],"it":[48],"may":[49],"yield":[50],"unduly":[51],"similar":[52],"for":[54,137],"nodes":[55],"that":[56],"differ":[57],"their":[59],"or":[61],"topological":[62],"properties.":[63],"As":[64],"a":[65],"result,":[66],"adjusting":[67],"the":[68,99,116,152],"degree":[69,101],"of":[70,102,154,167],"usage":[73,105],"has":[74],"been":[75],"actively":[76],"explored":[77],"supervised":[79],"settings,":[81],"whereas":[82],"such":[83],"approaches":[84],"remain":[85],"underexplored":[86],"unsupervised":[88],"scenarios.":[89],"tackle":[91],"we":[93,150],"propose":[94],"FUEL,":[95],"adaptively":[97],"learns":[98],"adequate":[100],"by":[106],"aiming":[107],"enhance":[109],"intra-class":[110],"similarity":[111],"inter-class":[113],"separability":[114],"embedding":[117],"space.":[118],"Since":[119],"classes":[120],"are":[121],"unknown,":[122],"FUEL":[123,155],"leverages":[124],"identify":[128],"clusters":[130,134],"treats":[132],"these":[133],"as":[135],"proxies":[136],"classes.":[138],"Through":[139],"extensive":[140],"experiments":[141],"using":[142],"15":[143],"baseline":[144],"methods":[145],"14":[147],"benchmark":[148],"datasets,":[149],"demonstrate":[151],"effectiveness":[153],"downstream":[157],"tasks,":[158],"achieving":[159],"state-of-the-art":[160],"performance":[161],"across":[162],"graphs":[163],"with":[164],"diverse":[165],"levels":[166],"homophily.":[168]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}