{"id":"https://openalex.org/W2892880750","doi":"https://doi.org/10.1609/aaai.v33i01.33013558","title":"Hypergraph Neural Networks","display_name":"Hypergraph Neural Networks","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2892880750","doi":"https://doi.org/10.1609/aaai.v33i01.33013558","mag":"2892880750"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33013558","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013558","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4235/4113","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4235/4113","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101819284","display_name":"Yifan Feng","orcid":"https://orcid.org/0000-0003-0878-2986"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Feng","raw_affiliation_strings":["Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084753767","display_name":"Haoxuan You","orcid":"https://orcid.org/0000-0002-7912-4035"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxuan You","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101566829","display_name":"Zizhao Zhang","orcid":"https://orcid.org/0000-0001-7329-6461"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zizhao Zhang","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Xiamen University"],"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602494","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0002-4971-590X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101819284"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":54.1363,"has_fulltext":true,"cited_by_count":1555,"citation_normalized_percentile":{"value":0.99932467,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"3558","last_page":"3565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.995199978351593,"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":0.995199978351593,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.9446024894714355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.720935583114624},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5765987634658813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.494627445936203},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4863796532154083},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47253182530403137},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47189223766326904},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.4457316994667053},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.41317373514175415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4093063473701477},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40577661991119385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37420564889907837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15071895718574524}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.9446024894714355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720935583114624},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5765987634658813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.494627445936203},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4863796532154083},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47253182530403137},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47189223766326904},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.4457316994667053},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.41317373514175415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4093063473701477},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40577661991119385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37420564889907837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15071895718574524},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33013558","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013558","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4235/4113","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"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33013558","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33013558","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4235/4113","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/G4861134968","display_name":null,"funder_award_id":"2016ZX01038101","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G6896143182","display_name":null,"funder_award_id":"Support","funder_id":"https://openalex.org/F4320323970","funder_display_name":"Ministry of Industry and Information Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2892880750.pdf","grobid_xml":"https://content.openalex.org/works/W2892880750.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1501856433","https://openalex.org/W1522301498","https://openalex.org/W1644641054","https://openalex.org/W1662382123","https://openalex.org/W1920022804","https://openalex.org/W1989889610","https://openalex.org/W2014854862","https://openalex.org/W2021122545","https://openalex.org/W2068078373","https://openalex.org/W2095705004","https://openalex.org/W2116341502","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2167913971","https://openalex.org/W2170057991","https://openalex.org/W2315403234","https://openalex.org/W2465015709","https://openalex.org/W2519887557","https://openalex.org/W2558460151","https://openalex.org/W2560609797","https://openalex.org/W2624503621","https://openalex.org/W2799162093","https://openalex.org/W2950642167","https://openalex.org/W2963121255","https://openalex.org/W2963312446","https://openalex.org/W2963719584","https://openalex.org/W2964015378","https://openalex.org/W4244478947","https://openalex.org/W4247044646","https://openalex.org/W4297733535","https://openalex.org/W6630044934","https://openalex.org/W6631190155","https://openalex.org/W6639917875","https://openalex.org/W6640300118","https://openalex.org/W6655768701","https://openalex.org/W6677316912","https://openalex.org/W6679194931","https://openalex.org/W6682839888","https://openalex.org/W6719270105","https://openalex.org/W6745537798","https://openalex.org/W6749134779","https://openalex.org/W6948116018"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W3138003926","https://openalex.org/W4300037846","https://openalex.org/W1630514295","https://openalex.org/W1537073411","https://openalex.org/W2963081352","https://openalex.org/W2472555608","https://openalex.org/W4376608938","https://openalex.org/W2968752923","https://openalex.org/W3209527236"],"abstract_inverted_index":{"In":[0,60,77],"this":[1,61,78],"paper,":[2],"we":[3,37],"present":[4],"a":[5,22,45,63,108],"hypergraph":[6,23,81],"neural":[7],"networks":[8,135],"(HGNN)":[9],"framework":[10,110],"for":[11,31],"data":[12,19,33,42,52,72,104,114,169],"representation":[13,30,75,100],"learning,":[14],"which":[15,47,106],"can":[16,84,153],"encode":[17],"high-order":[18,103],"correlation":[20,73],"in":[21,34,44],"structure.":[24],"Confronting":[25],"the":[26,71,97,102,112,144,157,160],"challenges":[27],"of":[28],"learning":[29,82],"complex":[32,58,113],"real":[35],"practice,":[36],"propose":[38],"to":[39,69,95],"incorporate":[40],"such":[41],"structure":[43],"hypergraph,":[46],"is":[48,67,93,107,163],"more":[49],"flexible":[50],"on":[51,120],"modeling,":[53],"especially":[54],"when":[55,165],"dealing":[56,166],"with":[57,132,167,171],"data.":[59],"method,":[62],"hyperedge":[64,88],"convolution":[65,89],"operation":[66],"designed":[68],"handle":[70],"during":[74],"learning.":[76],"way,":[79],"traditional":[80,138],"procedure":[83],"be":[85],"conducted":[86,118],"using":[87],"operations":[90],"efficiently.":[91],"HGNN":[92,131,146,162],"able":[94],"learn":[96],"hidden":[98],"layer":[99],"considering":[101,111],"structure,":[105],"general":[109],"correlations.":[115],"We":[116,152],"have":[117],"experiments":[119],"citation":[121],"network":[122],"classification":[123],"and":[124,129,136],"visual":[125],"object":[126],"recognition":[127],"tasks":[128],"compared":[130,170],"graph":[133],"convolutional":[134],"other":[137],"methods.":[139,151,173],"Experimental":[140],"results":[141,158],"demonstrate":[142],"that":[143,159],"proposed":[145,161],"method":[147],"outperforms":[148],"recent":[149],"state-of-theart":[150],"also":[154],"reveal":[155],"from":[156],"superior":[164],"multi-modal":[168],"existing":[172]},"counts_by_year":[{"year":2026,"cited_by_count":68},{"year":2025,"cited_by_count":412},{"year":2024,"cited_by_count":381},{"year":2023,"cited_by_count":285},{"year":2022,"cited_by_count":165},{"year":2021,"cited_by_count":153},{"year":2020,"cited_by_count":75},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}