{"id":"https://openalex.org/W4412877080","doi":"https://doi.org/10.1145/3711896.3737067","title":"Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features","display_name":"Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877080","doi":"https://doi.org/10.1145/3711896.3737067"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737067","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737067","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053118879","display_name":"Sukwon Yun","orcid":"https://orcid.org/0000-0002-5186-6563"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sukwon Yun","raw_affiliation_strings":["The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":"https://orcid.org/0000-0002-5186-6563","affiliations":[{"raw_affiliation_string":"The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011513741","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-2336-7409"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2336-7409","affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061939441","display_name":"Yunhak Oh","orcid":"https://orcid.org/0000-0002-9110-3042"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yunhak Oh","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9110-3042","affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100765319","display_name":"Junseok Lee","orcid":"https://orcid.org/0000-0003-3874-1667"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junseok Lee","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-3874-1667","affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103073431","display_name":"Tianlong Chen","orcid":"https://orcid.org/0000-0001-7774-8197"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianlong Chen","raw_affiliation_strings":["The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"raw_orcid":"https://orcid.org/0000-0001-7774-8197","affiliations":[{"raw_affiliation_string":"The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076510932","display_name":"Tsuyoshi Murata","orcid":"https://orcid.org/0000-0002-3818-7830"},"institutions":[{"id":"https://openalex.org/I4400009020","display_name":"Institute of Science Tokyo","ror":"https://ror.org/05dqf9946","country_code":null,"type":"education","lineage":["https://openalex.org/I4400009020"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Murata","raw_affiliation_strings":["Institute of Science Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3818-7830","affiliations":[{"raw_affiliation_string":"Institute of Science Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I4400009020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101629748","display_name":"Chanyoung Park","orcid":"https://orcid.org/0000-0002-5957-5816"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chanyoung Park","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5957-5816","affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3704","last_page":"3715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9976999759674072,"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":0.9957000017166138,"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":0.5799387693405151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5799387693405151}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737067","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737067","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4400532562","display_name":null,"funder_award_id":"23H03451","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"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/G5102962909","display_name":null,"funder_award_id":"RS-2022-NR068758","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5231741746","display_name":"Graph Learning on Imperfect Data: Theoretical Foundations and Innovative Real-world Applications","funder_award_id":"25K03231","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"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"},{"id":"https://openalex.org/G8736931264","display_name":null,"funder_award_id":"RS-2022-NR068758","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/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877080.pdf","grobid_xml":"https://content.openalex.org/works/W4412877080.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1497443639","https://openalex.org/W1932742904","https://openalex.org/W1979283544","https://openalex.org/W2090891622","https://openalex.org/W2096762662","https://openalex.org/W2138388365","https://openalex.org/W2148534792","https://openalex.org/W2154851992","https://openalex.org/W2156725384","https://openalex.org/W2187089797","https://openalex.org/W2387462954","https://openalex.org/W2606780347","https://openalex.org/W2805619986","https://openalex.org/W2905157535","https://openalex.org/W2912083425","https://openalex.org/W2963757395","https://openalex.org/W3005104128","https://openalex.org/W3040731923","https://openalex.org/W3092835783","https://openalex.org/W3097264851","https://openalex.org/W3104097132","https://openalex.org/W3121808035","https://openalex.org/W3165940045","https://openalex.org/W4229572429","https://openalex.org/W4287812705","https://openalex.org/W4308288307","https://openalex.org/W4322614756"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0,23],"real-world":[1],"graphs,":[2],"we":[3,75,127,203],"often":[4],"encounter":[5],"missing":[6,55],"feature":[7,100,160],"situations":[8],"where":[9],"a":[10,47,59,77,98,109,130,171,219],"few":[11,48,60,220],"or":[12],"the":[13,44,83,116,135,148,155,164,178,188,193,197,211],"majority":[14],"of":[15,46,85,92,147,157,180,232],"node":[16,41],"features,":[17],"e.g.,":[18],"sensitive":[19],"information,":[20],"are":[21,62,222],"missed.":[22],"such":[24,39],"scenarios,":[25],"directly":[26],"utilizing":[27],"Graph":[28],"Neural":[29],"Networks":[30],"(GNNs)":[31],"would":[32],"yield":[33],"sub-optimal":[34],"results":[35],"in":[36,226],"downstream":[37],"tasks":[38],"as":[40],"classification.":[42],"Despite":[43],"emergence":[45],"GNN-based":[49,131],"methods":[50,214],"attempting":[51],"to":[52,112,139,163],"mitigate":[53],"its":[54],"situation,":[56],"when":[57,96,217],"only":[58,97,216,218],"features":[61,221],"available,":[63],"they":[64],"rather":[65],"perform":[66],"worse":[67],"than":[68],"traditional":[69],"structure-based":[70],"models.":[71],"To":[72,124],"this":[73],"end,":[74],"propose":[76],"novel":[78,172],"framework":[79],"that":[80,133,143,176,205],"further":[81],"illuminates":[82],"potential":[84],"classical":[86],"Label":[87,117,136],"Propagation":[88,118,122,137],"(Oldie),":[89],"taking":[90],"advantage":[91],"Feature":[93,121],"Propagation,":[94],"especially":[95],"partial":[99],"is":[101,234],"available.":[102],"Now":[103],"called":[104],"by":[105,170],"GOODIE,":[106,209],"it":[107],"takes":[108],"hybrid":[110],"approach":[111],"obtain":[113],"embeddings":[114,142],"from":[115,187],"branch":[119,138],"and":[120,159],"branch.":[123,150],"do":[125],"so,":[126],"first":[128],"design":[129],"decoder":[132],"enables":[134],"output":[140],"hidden":[141],"align":[144],"with":[145],"those":[146],"FP":[149],"Then,":[151],"GOODIE":[152,191,233],"automatically":[153],"captures":[154],"significance":[156],"structure":[158],"information":[161],"thanks":[162],"newly":[165],"designed":[166],"Structure-Feature":[167],"Attention.":[168],"Followed":[169],"Pseudo-Label":[173],"contrastive":[174],"learning":[175],"differentiates":[177],"contribution":[179],"each":[181],"positive":[182],"pair":[183],"within":[184],"pseudo-labels":[185],"originating":[186],"LP":[189],"branch,":[190],"outputs":[192],"final":[194],"prediction":[195],"for":[196],"unlabeled":[198],"nodes.":[199],"Through":[200],"extensive":[201],"experiments,":[202],"demonstrate":[204],"our":[206],"proposed":[207],"model,":[208],"outperforms":[210],"existing":[212],"state-of-the-art":[213],"not":[215],"available":[223,228,235],"but":[224],"also":[225],"abundantly":[227],"situations.":[229],"Source":[230],"code":[231],"at:":[236],"https://github.com/SukwonYun/GOODIE.":[237]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
