{"id":"https://openalex.org/W4387847650","doi":"https://doi.org/10.1145/3583780.3615195","title":"Neighborhood Homophily-based Graph Convolutional Network","display_name":"Neighborhood Homophily-based Graph Convolutional Network","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387847650","doi":"https://doi.org/10.1145/3583780.3615195"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615195","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-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/A5003746426","display_name":"Shengbo Gong","orcid":"https://orcid.org/0000-0001-7482-6524"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengbo Gong","raw_affiliation_strings":["Zhejiang University of Technology &amp; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology &amp; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091467752","display_name":"Jiajun Zhou","orcid":"https://orcid.org/0000-0002-5062-4183"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Zhou","raw_affiliation_strings":["Zhejiang University of Technology &amp; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology &amp; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034301485","display_name":"Chenxuan Xie","orcid":"https://orcid.org/0000-0002-4474-615X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxuan Xie","raw_affiliation_strings":["Zhejiang University of Technology &amp; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology &amp; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016704080","display_name":"Qi Xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Xuan","raw_affiliation_strings":["Zhejiang University of Technology &amp; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology &amp; Binjiang Cyberspace Security Institute of ZJUT, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003746426"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":1.8874,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88708285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3908","last_page":"3912"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9865999817848206,"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"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9617999792098999,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/homophily","display_name":"Homophily","score":0.9650750160217285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7078714966773987},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.61617511510849},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5915412306785583},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5278691649436951},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.46553388237953186},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4223480522632599},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35421666502952576},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3473120331764221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34114766120910645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1979764699935913}],"concepts":[{"id":"https://openalex.org/C2779812341","wikidata":"https://www.wikidata.org/wiki/Q5891525","display_name":"Homophily","level":2,"score":0.9650750160217285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078714966773987},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.61617511510849},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5915412306785583},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5278691649436951},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.46553388237953186},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4223480522632599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35421666502952576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3473120331764221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34114766120910645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1979764699935913},{"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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615195","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4527305417","display_name":null,"funder_award_id":"61973273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5182208057","display_name":null,"funder_award_id":"30001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5680956000","display_name":null,"funder_award_id":"2022C01018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8184839116","display_name":null,"funder_award_id":"2022C01018","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8366387292","display_name":null,"funder_award_id":"LR19F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W3007309629","https://openalex.org/W3090999459","https://openalex.org/W3093814892","https://openalex.org/W3100646853","https://openalex.org/W3166257724","https://openalex.org/W3172402898","https://openalex.org/W3175753490","https://openalex.org/W3210034512","https://openalex.org/W4206425576","https://openalex.org/W4206609219","https://openalex.org/W4224319742","https://openalex.org/W4283810673","https://openalex.org/W4287115771","https://openalex.org/W4290943435","https://openalex.org/W4290943483","https://openalex.org/W4320060387","https://openalex.org/W4323923320"],"related_works":["https://openalex.org/W3185373886","https://openalex.org/W3010567961","https://openalex.org/W4200127153","https://openalex.org/W4385338594","https://openalex.org/W2588006872","https://openalex.org/W3119171992","https://openalex.org/W2560747187","https://openalex.org/W1971924293","https://openalex.org/W2011190096","https://openalex.org/W1014449310"],"abstract_inverted_index":{"Graph":[0,106],"neural":[1],"networks":[2,32],"(GNNs)":[3],"have":[4],"been":[5],"proved":[6],"powerful":[7],"in":[8,86,133],"graph-oriented":[9],"tasks.":[10],"However,":[11],"many":[12,29],"real-world":[13],"graphs":[14],"are":[15,114,130,150],"heterophilous,":[16],"challenging":[17],"the":[18,26,54,59,62,81,92,95,126,178],"homophily":[19],"assumption":[20],"of":[21,61,144,172],"classical":[22,96],"GNNs.":[23],"To":[24],"solve":[25],"universality":[27],"problem,":[28],"studies":[30,48],"deepen":[31],"or":[33,84],"concatenate":[34],"intermediate":[35],"representations,":[36],"which":[37],"does":[38],"not":[39],"inherently":[40],"change":[41],"neighbor":[42],"aggregation":[43],"and":[44,65,102,120,125,137,147,166],"introduces":[45],"noise.":[46],"Recent":[47],"propose":[49,103],"new":[50,74],"metrics":[51,64],"to":[52,79,135,153,174,177],"characterize":[53],"homophily,":[55],"but":[56],"rarely":[57],"consider":[58],"correlation":[60],"proposed":[63],"models.":[66],"In":[67,110],"this":[68,111],"paper,":[69],"we":[70,90],"first":[71],"design":[72],"a":[73],"metric,":[75],"Neighborhood":[76,104],"Homophily":[77],"(NH),":[78],"measure":[80],"label":[82],"complexity":[83],"purity":[85],"node":[87,128,156],"neighborhoods.":[88],"Furthermore,":[89],"incorporate":[91],"metric":[93,145],"into":[94],"graph":[97],"convolutional":[98],"network":[99],"(GCN)":[100],"architecture":[101],"Homophily-based":[105],"Convolutional":[107],"Network":[108],"(NHGCN).":[109],"framework,":[112],"neighbors":[113],"grouped":[115],"by":[116],"estimated":[117],"NH":[118,139],"values":[119],"aggregated":[121],"from":[122],"different":[123],"channels,":[124],"resulting":[127],"predictions":[129],"then":[131],"used":[132],"turn":[134],"estimate":[136],"update":[138],"values.":[140],"The":[141],"two":[142],"processes":[143],"estimation":[146],"model":[148],"inference":[149],"alternately":[151],"optimized":[152],"achieve":[154],"better":[155],"classification.":[157],"NHGCN":[158],"achieves":[159],"top":[160],"overall":[161],"performance":[162],"on":[163],"both":[164],"homophilous":[165],"heterophilous":[167],"benchmarks,":[168],"with":[169],"an":[170],"improvement":[171],"up":[173],"7.4%":[175],"compared":[176],"current":[179],"SOTA":[180],"methods.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
