{"id":"https://openalex.org/W3211688385","doi":"https://doi.org/10.1109/iccse51940.2021.9569406","title":"PageRank Centrality based Graph Convolutional Networks for Semi-supervised Node Classification","display_name":"PageRank Centrality based Graph Convolutional Networks for Semi-supervised Node Classification","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3211688385","doi":"https://doi.org/10.1109/iccse51940.2021.9569406","mag":"3211688385"},"language":"en","primary_location":{"id":"doi:10.1109/iccse51940.2021.9569406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse51940.2021.9569406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th International Conference on Computer Science & Education (ICCSE)","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/A5100755955","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0003-3068-1583"},"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":"Lei Chen","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Shenzhen Research Institute of Xiamen University, Shenzhen, China","Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Shenzhen Research Institute of Xiamen University, Shenzhen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision, Xiamen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023207685","display_name":"Junchi Liu","orcid":"https://orcid.org/0000-0003-1024-8117"},"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":"Junchi Liu","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639251","display_name":"Xueyuan Zhang","orcid":"https://orcid.org/0000-0001-5617-1640"},"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":"Xueyuan Zhang","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034395042","display_name":"Qifeng Zhou","orcid":"https://orcid.org/0000-0003-3583-6943"},"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":"Qifeng Zhou","raw_affiliation_strings":["Department of Automation, Xiamen University, Xiamen, China","Shenzhen Research Institute of Xiamen University, Shenzhen, China","Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Shenzhen Research Institute of Xiamen University, Shenzhen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision, Xiamen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54637898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"518","last_page":"523"},"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":0.9939000010490417,"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":0.972000002861023,"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/pagerank","display_name":"PageRank","score":0.8316489458084106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7739733457565308},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6620240211486816},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6470208168029785},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6148649454116821},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.5505016446113586},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5029818415641785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4357931911945343},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4291726052761078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3482261896133423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10743650794029236}],"concepts":[{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.8316489458084106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7739733457565308},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6620240211486816},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6470208168029785},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6148649454116821},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.5505016446113586},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5029818415641785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4357931911945343},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4291726052761078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3482261896133423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10743650794029236},{"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},{"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:10.1109/iccse51940.2021.9569406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse51940.2021.9569406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th International Conference on Computer Science & Education (ICCSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1662382123","https://openalex.org/W1854214752","https://openalex.org/W1904365287","https://openalex.org/W2009695707","https://openalex.org/W2087194317","https://openalex.org/W2112796928","https://openalex.org/W2116341502","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2171707538","https://openalex.org/W2194775991","https://openalex.org/W2519887557","https://openalex.org/W2786915849","https://openalex.org/W2804057010","https://openalex.org/W2890703109","https://openalex.org/W2901504064","https://openalex.org/W2908404712","https://openalex.org/W2916106175","https://openalex.org/W2945827377","https://openalex.org/W2949945331","https://openalex.org/W2952029609","https://openalex.org/W2962767366","https://openalex.org/W2963121255","https://openalex.org/W2963312446","https://openalex.org/W2963446712","https://openalex.org/W2963653811","https://openalex.org/W2963695795","https://openalex.org/W2963858333","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2964114465","https://openalex.org/W2964121744","https://openalex.org/W2964124573","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W2981525344","https://openalex.org/W2990045899","https://openalex.org/W2996268457","https://openalex.org/W3007404067","https://openalex.org/W3034492151","https://openalex.org/W3101553402","https://openalex.org/W3104097132","https://openalex.org/W4288089072","https://openalex.org/W4289389616","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6637178625","https://openalex.org/W6640036494","https://openalex.org/W6699364125","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6739778489","https://openalex.org/W6748141922","https://openalex.org/W6748799445","https://openalex.org/W6752110883","https://openalex.org/W6754030515","https://openalex.org/W6755863455","https://openalex.org/W6760001035","https://openalex.org/W6769386472","https://openalex.org/W6771247989","https://openalex.org/W6771932116","https://openalex.org/W6779961489"],"related_works":["https://openalex.org/W2913425789","https://openalex.org/W2905200617","https://openalex.org/W2788040429","https://openalex.org/W1967232009","https://openalex.org/W4302136133","https://openalex.org/W2964025114","https://openalex.org/W2887986896","https://openalex.org/W2002495609","https://openalex.org/W2195864695","https://openalex.org/W3184283142"],"abstract_inverted_index":{"Graph":[0],"convolutional":[1],"neural":[2],"networks(GCNs)":[3],"have":[4],"achieved":[5],"impressive":[6],"results":[7,99],"on":[8,105],"a":[9,61,101],"variety":[10],"of":[11,19,24,38,44,68,100,103],"graph-based":[12],"tasks.":[13,122],"However,":[14],"due":[15],"to":[16,31,74,91],"the":[17,21,28,32,41,76,92,110,114,128,139],"problem":[18],"over-smoothing,":[20],"output":[22],"representation":[23],"each":[25],"node":[26,120],"in":[27,47,118,134],"graph":[29],"converges":[30],"same":[33],"asymptotically":[34],"with":[35],"increasing":[36],"depth":[37],"GCN,":[39],"so":[40],"vast":[42],"majority":[43],"GCN":[45],"models":[46],"practical":[48],"applications":[49],"are":[50,81],"shallow.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"investigate":[56],"deep":[57,135],"GCNs":[58,136],"and":[59,87],"propose":[60],"PageRank-GCN(PR-GCN)":[62],"model,":[63],"which":[64],"is":[65],"an":[66],"extension":[67],"DropEdge":[69,96],"model.":[70],"PR-GCN":[71,111],"uses":[72],"PageRank":[73],"get":[75],"top":[77],"e":[78],"neighbors":[79],"that":[80,109,127],"most":[82],"easily":[83],"accessed":[84],"by":[85,143],"nodes":[86],"adds":[88],"them":[89],"back":[90],"adjacency":[93],"matrix":[94],"after":[95],"processing.":[97],"The":[98,123],"series":[102],"experiments":[104,124],"real-world":[106],"datasets":[107],"show":[108],"model":[112],"outperforms":[113],"state-of-the-art":[115],"baseline":[116],"approach":[117],"semi-supervised":[119],"classification":[121],"also":[125],"validate":[126],"proposed":[129],"method":[130],"can":[131],"prevent":[132],"over-smoothing":[133],"while":[137],"mitigating":[138],"information":[140],"loss":[141],"caused":[142],"DropEdge.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}