{"id":"https://openalex.org/W4319341370","doi":"https://doi.org/10.1109/tnse.2023.3243058","title":"RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs","display_name":"RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs","publication_year":2023,"publication_date":"2023-02-07","ids":{"openalex":"https://openalex.org/W4319341370","doi":"https://doi.org/10.1109/tnse.2023.3243058"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2023.3243058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2023.3243058","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5001535637","display_name":"Kunhao Li","orcid":"https://orcid.org/0000-0002-4952-0969"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunhao Li","raw_affiliation_strings":["School of Internet, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4952-0969","affiliations":[{"raw_affiliation_string":"School of Internet, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhenhua Huang","orcid":"https://orcid.org/0000-0002-0389-9061"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Huang","raw_affiliation_strings":["School of Internet, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-0389-9061","affiliations":[{"raw_affiliation_string":"School of Internet, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017935525","display_name":"Zhaohong Jia","orcid":"https://orcid.org/0000-0001-6607-7025"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohong Jia","raw_affiliation_strings":["School of Internet, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6607-7025","affiliations":[{"raw_affiliation_string":"School of Internet, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":3.9565,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94423534,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"2098","last_page":"2108"},"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":0.9760000109672546,"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/T10028","display_name":"Topic Modeling","score":0.975600004196167,"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/hypergraph","display_name":"Hypergraph","score":0.7201234102249146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891683340072632},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.547079861164093},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.5164532661437988},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5023193359375},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.46241995692253113},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.44883227348327637},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44361501932144165},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.41819724440574646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36511707305908203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3464931547641754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17036062479019165},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15601783990859985},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09529978036880493}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7201234102249146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891683340072632},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.547079861164093},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.5164532661437988},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5023193359375},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.46241995692253113},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.44883227348327637},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44361501932144165},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.41819724440574646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36511707305908203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3464931547641754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17036062479019165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15601783990859985},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09529978036880493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2023.3243058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2023.3243058","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3505084870","display_name":null,"funder_award_id":"2019A1515011792","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5197782107","display_name":"\u9762\u5411\u5ba2\u6237\u9700\u6c42\u7684\u667a\u80fd\u670d\u52a1\u5355\u5143\u52a8\u6001\u96c6\u6210\u4f18\u5316\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71971002","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1888005072","https://openalex.org/W1964940342","https://openalex.org/W2057685268","https://openalex.org/W2099438806","https://openalex.org/W2154851992","https://openalex.org/W2170057991","https://openalex.org/W2170513563","https://openalex.org/W2187089797","https://openalex.org/W2294347342","https://openalex.org/W2393319904","https://openalex.org/W2606780347","https://openalex.org/W2607500032","https://openalex.org/W2792234394","https://openalex.org/W2891322122","https://openalex.org/W2892880750","https://openalex.org/W2945365184","https://openalex.org/W2952575904","https://openalex.org/W2953048569","https://openalex.org/W2962711740","https://openalex.org/W2962756421","https://openalex.org/W2963312446","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2971865858","https://openalex.org/W2996226706","https://openalex.org/W3011667710","https://openalex.org/W3028772300","https://openalex.org/W3042448193","https://openalex.org/W3044498809","https://openalex.org/W3045200674","https://openalex.org/W3085990079","https://openalex.org/W3102554291","https://openalex.org/W3102794461","https://openalex.org/W3104097132","https://openalex.org/W3108458441","https://openalex.org/W3121087702","https://openalex.org/W3126138172","https://openalex.org/W3152893301","https://openalex.org/W3169024950","https://openalex.org/W3178367256","https://openalex.org/W3211394146","https://openalex.org/W3212307688","https://openalex.org/W4221151119","https://openalex.org/W4221163422","https://openalex.org/W4280559560","https://openalex.org/W4284682557","https://openalex.org/W4287113446","https://openalex.org/W4288419263","https://openalex.org/W4293877025","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4322614756","https://openalex.org/W6636510571","https://openalex.org/W6685083254","https://openalex.org/W6699364125","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6754929296","https://openalex.org/W6757713970","https://openalex.org/W6760045743","https://openalex.org/W6762490134","https://openalex.org/W6763057493","https://openalex.org/W6770147432","https://openalex.org/W6780471435","https://openalex.org/W6797571766","https://openalex.org/W6804049574","https://openalex.org/W6810354812","https://openalex.org/W6810465265","https://openalex.org/W6838750287","https://openalex.org/W6973773678"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W4309045449","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2153421018"],"abstract_inverted_index":{"Graph":[0],"neural":[1,20,83,144],"networks":[2,21,145],"have":[3],"been":[4],"widely":[5],"studied":[6],"and":[7,29,89,97,124],"applied":[8,105],"to":[9,31,93,106,128,154],"node":[10,158],"classification":[11,159],"in":[12,15,46,50,53,64,113,161],"graph-format":[13],"datasets":[14],"recent":[16],"years.":[17],"Traditional":[18],"graph":[19,57,143],"mainly":[22],"consider":[23],"the":[24,66,108,114,119,122,129,132,137,157],"adjacency":[25,98,125],"characteristics":[26,68,130],"of":[27,36,42,69,131],"nodes":[28,43,70],"fail":[30],"learn":[32],"rich":[33],"role":[34,39,67,96,123],"representations":[35,40,126],"nodes.":[37],"Existing":[38],"methods":[41],"are":[44,71],"mostly":[45],"unsupervised":[47],"approaches,":[48],"resulting":[49],"unsatisfactory":[51],"performance":[52,139],"downstream":[54],"tasks.":[55],"A":[56,100],"can":[58],"be":[59],"reorganized":[60],"as":[61],"a":[62,80],"hypergraph,":[63],"which":[65],"more":[72],"intuitively":[73],"represented.":[74],"Based":[75],"on":[76,121,146,156],"this,":[77],"we":[78],"propose":[79],"role-aware":[81],"hypergraph":[82],"network":[84,102],"(RAHG)":[85],"that":[86],"utilizes":[87],"hypergraphs":[88],"an":[90],"attention":[91],"mechanism":[92],"fuse":[94],"nodes'":[95],"representations.":[99],"residual":[101],"is":[103],"also":[104],"relieve":[107],"smoothing":[109],"problem":[110],"between":[111],"layers":[112],"model.":[115],"The":[116],"model":[117],"adjusts":[118],"weights":[120],"according":[127],"graphs.":[133,162],"RAHG":[134],"significantly":[135],"improves":[136],"prediction":[138],"compared":[140],"with":[141,149],"existing":[142],"seven":[147],"datasets,":[148],"accuracy":[150],"increased":[151],"by":[152],"up":[153],"12.1%":[155],"task":[160]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
