{"id":"https://openalex.org/W3130711106","doi":"https://doi.org/10.1109/access.2021.3060173","title":"Higher-Order Graph Convolutional Networks With Multi-Scale Neighborhood Pooling for Semi-Supervised Node Classification","display_name":"Higher-Order Graph Convolutional Networks With Multi-Scale Neighborhood Pooling for Semi-Supervised Node Classification","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3130711106","doi":"https://doi.org/10.1109/access.2021.3060173","mag":"3130711106"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3060173","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3060173","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09356594.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09356594.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009139024","display_name":"Xun Liu","orcid":"https://orcid.org/0000-0003-0368-7971"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Liu","raw_affiliation_strings":["Department of Electronics, South China Institute of Software Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0368-7971","affiliations":[{"raw_affiliation_string":"Department of Electronics, South China Institute of Software Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034","https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108351952","display_name":"Guoqing Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Xia","raw_affiliation_strings":["Department of Electronics, South China Institute of Software Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, South China Institute of Software Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034","https://openalex.org/I4210128818"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063343191","display_name":"Fangyuan Lei","orcid":"https://orcid.org/0000-0002-2059-8818"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyuan Lei","raw_affiliation_strings":["School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou, China","Guangdong Provincial Key Laboratory of Intellectual Property Big Data, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2059-8818","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intellectual Property Big Data, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078632693","display_name":"Yikuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikuan Zhang","raw_affiliation_strings":["Department of Electronics, South China Institute of Software Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, South China Institute of Software Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034","https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070887548","display_name":"Shihui Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shihui Chang","raw_affiliation_strings":["Department of Professional, Jiangyin Huazi Secondary Specialized School, Jiangyin~, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Professional, Jiangyin Huazi Secondary Specialized School, Jiangyin~, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6908,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86404098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"31268","last_page":"31275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9901000261306763,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9854000210762024,"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/pooling","display_name":"Pooling","score":0.9024273157119751},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7220585346221924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6944268941879272},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6465275287628174},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.565243661403656},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4889599084854126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4342101216316223},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41865628957748413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3869982659816742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3265044093132019},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29640382528305054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09574967622756958}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.9024273157119751},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7220585346221924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6944268941879272},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6465275287628174},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.565243661403656},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4889599084854126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4342101216316223},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41865628957748413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3869982659816742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3265044093132019},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29640382528305054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09574967622756958},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3060173","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3060173","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09356594.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:841b3732afa8498884435a6b44333d8c","is_oa":true,"landing_page_url":"https://doaj.org/article/841b3732afa8498884435a6b44333d8c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 31268-31275 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3060173","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3060173","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09356594.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3278657573","display_name":null,"funder_award_id":"U1701266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3739737469","display_name":null,"funder_award_id":"2020ZDZX3077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7953248009","display_name":null,"funder_award_id":"ky202012","funder_id":"https://openalex.org/F4320328715","funder_display_name":"Guangzhou University"},{"id":"https://openalex.org/G8508982622","display_name":null,"funder_award_id":"2018B030322016","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/F4320328715","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3130711106.pdf","grobid_xml":"https://content.openalex.org/works/W3130711106.grobid-xml"},"referenced_works_count":86,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1522301498","https://openalex.org/W1662382123","https://openalex.org/W1932847118","https://openalex.org/W1951806617","https://openalex.org/W2104290444","https://openalex.org/W2139823104","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2159291644","https://openalex.org/W2194775991","https://openalex.org/W2271840356","https://openalex.org/W2465015709","https://openalex.org/W2725719541","https://openalex.org/W2766296895","https://openalex.org/W2788284887","https://openalex.org/W2789186812","https://openalex.org/W2891781872","https://openalex.org/W2892094955","https://openalex.org/W2899638841","https://openalex.org/W2903871660","https://openalex.org/W2907079035","https://openalex.org/W2916106175","https://openalex.org/W2917413713","https://openalex.org/W2941657271","https://openalex.org/W2942681667","https://openalex.org/W2950898568","https://openalex.org/W2952179887","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2962946486","https://openalex.org/W2963312446","https://openalex.org/W2963446712","https://openalex.org/W2963486920","https://openalex.org/W2963695795","https://openalex.org/W2963840672","https://openalex.org/W2963858333","https://openalex.org/W2963893572","https://openalex.org/W2963984147","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964121744","https://openalex.org/W2964124573","https://openalex.org/W2964145825","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W2965469401","https://openalex.org/W2979300990","https://openalex.org/W2987119394","https://openalex.org/W2990045899","https://openalex.org/W2993822271","https://openalex.org/W2997701990","https://openalex.org/W2998086661","https://openalex.org/W2998269939","https://openalex.org/W3010338999","https://openalex.org/W3021853564","https://openalex.org/W3038077885","https://openalex.org/W3041331580","https://openalex.org/W3045200674","https://openalex.org/W3047295971","https://openalex.org/W3096063621","https://openalex.org/W3104097132","https://openalex.org/W4288363255","https://openalex.org/W4293355908","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6620673361","https://openalex.org/W6637178625","https://openalex.org/W6675747103","https://openalex.org/W6680434193","https://openalex.org/W6690815549","https://openalex.org/W6694517276","https://openalex.org/W6696085341","https://openalex.org/W6699364125","https://openalex.org/W6713582119","https://openalex.org/W6719270105","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6745629644","https://openalex.org/W6748141922","https://openalex.org/W6748799445","https://openalex.org/W6758068992","https://openalex.org/W6760001035","https://openalex.org/W6761811651","https://openalex.org/W6779567084"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W3015684221"],"abstract_inverted_index":{"Existing":[0],"popular":[1],"methods":[2,29,138],"for":[3,52],"semi-supervised":[4,53],"node":[5,54],"classification":[6],"with":[7,30],"high-order":[8,25,31,67],"convolution":[9,32],"improve":[10],"the":[11,21,73,84,136],"learning":[12,55],"ability":[13],"of":[14,62,75,99,120,157],"graph":[15],"convolutional":[16],"networks":[17],"(GCNs)":[18],"by":[19,65],"capturing":[20],"feature":[22],"information":[23,61,86],"from":[24],"neighborhoods.":[26],"However,":[27],"these":[28,43],"usually":[33],"require":[34,95],"many":[35],"parameters":[36,76,107,150,160],"and":[37,82,102,108,122,132,148,151,159],"high":[38],"computational":[39],"complexity.":[40,111],"To":[41],"address":[42],"limitations,":[44],"we":[45,71],"propose":[46],"HCNP,":[47,70],"a":[48,78,96,105],"new":[49],"higher-order":[50],"GCN":[51],"tasks,":[56],"which":[57],"can":[58],"simultaneously":[59],"aggregate":[60],"various":[63],"neighborhoods":[64],"constructing":[66],"convolution.":[68],"In":[69],"reduce":[72],"number":[74,98],"using":[77],"weight":[79],"sharing":[80],"mechanism":[81],"combine":[83],"neighborhood":[85,89],"via":[87],"multi-scale":[88],"pooling.":[90],"Further,":[91],"HCNP":[92,115],"does":[93],"not":[94],"large":[97],"hidden":[100],"units,":[101],"it":[103],"fits":[104],"few":[106],"exhibits":[109],"low":[110],"We":[112],"show":[113],"that":[114,135],"matches":[116],"GCNs":[117],"in":[118,141,155],"terms":[119,156],"complexity":[121,147],"parameters.":[123],"Comprehensive":[124],"evaluations":[125],"on":[126],"publication":[127],"citation":[128],"datasets":[129],"(Citeseer,":[130],"Pubmed,":[131],"Cora)":[133],"demonstrate":[134],"proposed":[137],"outperform":[139],"MixHop":[140],"most":[142],"cases":[143],"while":[144],"maintaining":[145],"lower":[146],"fewer":[149],"achieve":[152],"state-of-the-art":[153],"performance":[154],"accuracy":[158],"compared":[161],"to":[162],"other":[163],"baselines.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
