{"id":"https://openalex.org/W4294069602","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9868975","title":"A Hypergraph Convolutional Neural Network for Node Classification of Citation Network Data","display_name":"A Hypergraph Convolutional Neural Network for Node Classification of Citation Network Data","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4294069602","doi":"https://doi.org/10.1109/icce-taiwan55306.2022.9868975"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan55306.2022.9868975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9868975","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089000473","display_name":"Bing-Yu Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bing-Yu Xiao","raw_affiliation_strings":["National Kaohsiung Univ. of Sci. and Tech.,Dept. of Computer and Communication Engineering,Kaohsiung,Taiwan","Dept. of Computer and Communication Engineering, National Kaohsiung Univ. of Sci. and Tech., Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Kaohsiung Univ. of Sci. and Tech.,Dept. of Computer and Communication Engineering,Kaohsiung,Taiwan","institution_ids":["https://openalex.org/I192168892"]},{"raw_affiliation_string":"Dept. of Computer and Communication Engineering, National Kaohsiung Univ. of Sci. and Tech., Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085387617","display_name":"Chien\u2010Cheng Tseng","orcid":"https://orcid.org/0000-0002-4235-8567"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chien-Cheng Tseng","raw_affiliation_strings":["National Kaohsiung Univ. of Sci. and Tech.,Dept. of Computer and Communication Engineering,Kaohsiung,Taiwan","Dept. of Computer and Communication Engineering, National Kaohsiung Univ. of Sci. and Tech., Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Kaohsiung Univ. of Sci. and Tech.,Dept. of Computer and Communication Engineering,Kaohsiung,Taiwan","institution_ids":["https://openalex.org/I192168892"]},{"raw_affiliation_string":"Dept. of Computer and Communication Engineering, National Kaohsiung Univ. of Sci. and Tech., Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055631887","display_name":"Su\u2010Ling Lee","orcid":"https://orcid.org/0000-0003-1043-7866"},"institutions":[{"id":"https://openalex.org/I80327900","display_name":"Chang Jung Christian University","ror":"https://ror.org/02s3d7j94","country_code":"TW","type":"education","lineage":["https://openalex.org/I80327900"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Su-Ling Lee","raw_affiliation_strings":["Chang Jung Christian Univ.,Dept. of Computer Science and Information Engineering,Tainan,Taiwan","Dept. of Computer Science and Information Engineering, Chang Jung Christian Univ., Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chang Jung Christian Univ.,Dept. of Computer Science and Information Engineering,Tainan,Taiwan","institution_ids":["https://openalex.org/I80327900"]},{"raw_affiliation_string":"Dept. of Computer Science and Information Engineering, Chang Jung Christian Univ., Tainan, Taiwan","institution_ids":["https://openalex.org/I80327900"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41376978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"243","last_page":"244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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":0.9973999857902527,"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/T13748","display_name":"Advanced Statistical Modeling Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9873999953269958,"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/hypergraph","display_name":"Hypergraph","score":0.8040828108787537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7159114480018616},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5100434422492981},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.487975537776947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47693532705307007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47633296251296997},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45650559663772583},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32332128286361694},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1764967143535614}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8040828108787537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7159114480018616},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5100434422492981},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.487975537776947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47693532705307007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47633296251296997},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45650559663772583},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32332128286361694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1764967143535614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"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/icce-taiwan55306.2022.9868975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan55306.2022.9868975","pdf_url":null,"source":{"id":"https://openalex.org/S4363607852","display_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2896556344","https://openalex.org/W2964015378","https://openalex.org/W3085990079","https://openalex.org/W3136210110","https://openalex.org/W4212999777"],"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/W4288275998","https://openalex.org/W4214498971"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"a":[3,50],"hypergraph":[4,18,40],"convolutional":[5,41],"neural":[6],"network":[7,15,97],"(HGCNN)":[8],"for":[9],"node":[10,33,61],"classification":[11,34,111],"of":[12,91,105],"irregular":[13],"citation":[14,96],"data.":[16],"First,":[17],"representation":[19],"is":[20,36],"used":[21],"to":[22,48,58,64,83,101,110],"describe":[23],"the":[24,29,32,39,60,68,80,85,103,106],"more":[25],"general":[26],"relation":[27],"among":[28],"data,":[30],"and":[31,43,74,88,115],"problem":[35],"described.":[37],"Then,":[38],"operator":[42],"activation":[44],"function":[45,82],"are":[46,77,99],"employed":[47],"construct":[49],"two-layer":[51],"HGCNN":[52,92,107],"model":[53,86,108],"with":[54],"sparse":[55],"dropout":[56],"regularization":[57],"transform":[59],"feature":[62],"vector":[63,90],"predicted":[65,75],"label.":[66],"Next,":[67],"cross":[69],"entropy":[70],"between":[71],"true":[72],"label":[73,76],"chosen":[78],"as":[79],"loss":[81],"train":[84],"weights":[87],"bias":[89],"model.":[93],"Finally,":[94],"three":[95],"datasets":[98],"applied":[100],"demonstrate":[102],"effectiveness":[104],"according":[109],"accuracy,":[112],"learning":[113],"curve":[114],"data":[116],"visualization.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
