{"id":"https://openalex.org/W4303709916","doi":"https://doi.org/10.3390/info13100471","title":"Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism","display_name":"Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism","publication_year":2022,"publication_date":"2022-09-30","ids":{"openalex":"https://openalex.org/W4303709916","doi":"https://doi.org/10.3390/info13100471"},"language":"en","primary_location":{"id":"doi:10.3390/info13100471","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100471","pdf_url":"https://www.mdpi.com/2078-2489/13/10/471/pdf?version=1665468257","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/13/10/471/pdf?version=1665468257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103128434","display_name":"Chenfang Zhang","orcid":"https://orcid.org/0000-0002-7978-0200"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenfang Zhang","raw_affiliation_strings":["School of Computer Communication and Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"raw_orcid":"https://orcid.org/0000-0002-7978-0200","affiliations":[{"raw_affiliation_string":"School of Computer Communication and Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073967306","display_name":"Yong Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091712","display_name":"Zhengzhou University of Science and Technology","ror":"https://ror.org/00b3j7936","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210091712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Gan","raw_affiliation_strings":["School of Computer Communication and Engineering, Zhengzhou Institute of Engineering and Technology, Zhengzhou 450002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Communication and Engineering, Zhengzhou Institute of Engineering and Technology, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I4210091712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003530856","display_name":"Ruisen Yang","orcid":"https://orcid.org/0000-0003-1458-0248"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruisen Yang","raw_affiliation_strings":["School of Computer Communication and Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Communication and Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103128434"],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.5249,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70917333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"13","issue":"10","first_page":"471","last_page":"471"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9749000072479248,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7720242738723755},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6258225440979004},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.5165240168571472},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5039662718772888},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4891829788684845},{"id":"https://openalex.org/keywords/message-passing","display_name":"Message passing","score":0.44981813430786133},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.435791552066803},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4157343804836273},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2833702564239502},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.252713143825531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2354515790939331}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720242738723755},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6258225440979004},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.5165240168571472},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5039662718772888},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4891829788684845},{"id":"https://openalex.org/C854659","wikidata":"https://www.wikidata.org/wiki/Q1859284","display_name":"Message passing","level":2,"score":0.44981813430786133},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.435791552066803},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4157343804836273},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2833702564239502},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.252713143825531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2354515790939331},{"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":3,"locations":[{"id":"doi:10.3390/info13100471","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100471","pdf_url":"https://www.mdpi.com/2078-2489/13/10/471/pdf?version=1665468257","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4c6507d894e34a189d02636feaa17fe8","is_oa":true,"landing_page_url":"https://doaj.org/article/4c6507d894e34a189d02636feaa17fe8","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":"Information, Vol 13, Iss 10, p 471 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/13/10/471/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info13100471","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 13; Issue 10; Pages: 471","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info13100471","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13100471","pdf_url":"https://www.mdpi.com/2078-2489/13/10/471/pdf?version=1665468257","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3291271152","display_name":null,"funder_award_id":"U1804263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3894998447","display_name":"\u591a\u6240\u6709\u8005RFID\u6807\u7b7e\u6240\u6709\u6743\u53ef\u9a8c\u8bc1\u52a8\u6001\u5b89\u5168\u8f6c\u6362\u673a\u5236\u7814\u7a76","funder_award_id":"61572445","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4303709916.pdf","grobid_xml":"https://content.openalex.org/works/W4303709916.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W2101491865","https://openalex.org/W2148461049","https://openalex.org/W2406128552","https://openalex.org/W2468907370","https://openalex.org/W2605344185","https://openalex.org/W2624431344","https://openalex.org/W2773131141","https://openalex.org/W2907492528","https://openalex.org/W3152893301","https://openalex.org/W3213747105","https://openalex.org/W6719270105","https://openalex.org/W6736685754","https://openalex.org/W6757713970","https://openalex.org/W6804617508"],"related_works":["https://openalex.org/W2978729728","https://openalex.org/W4293226380","https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W4288966080","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W4321487865","https://openalex.org/W4313906399"],"abstract_inverted_index":{"The":[0],"main":[1],"steps":[2],"in":[3,22,199],"a":[4,88,103,120],"graph":[5,24,57,124],"neural":[6],"network":[7,97,126],"are":[8,81],"message":[9,90,145],"propagation":[10,16,91,123,146],"and":[11,45,75,114,147,158,165,188,195],"aggregation":[12,34,105,170],"between":[13],"nodes.":[14],"Message":[15],"allows":[17,35],"messages":[18,41,167],"from":[19],"distant":[20],"nodes":[21],"the":[23,29,36,56,65,130,142,152,155,160,169,172,185,191],"to":[25,28,39,86,93,101,139,151,184],"be":[26],"transmitted":[27],"central":[30,37,71,156,173],"node,":[31,157],"while":[32],"feature":[33,104,148],"node":[38,72],"obtain":[40],"regarding":[42],"its":[43],"neighbors":[44,68,153],"update":[46],"itself,":[47],"so":[48,107],"that":[49,108],"it":[50,109],"can":[51,110,189],"express":[52,95],"deep-layer":[53],"features.":[54,116],"Because":[55],"structure":[58],"data":[59],"have":[60],"no":[61,78],"local":[62,112,164],"translation":[63],"invariance,":[64],"number":[66],"of":[67,69,144,154,163,171,193],"each":[70],"is":[73,77,134,182],"different,":[74],"there":[76,80],"order,":[79],"two":[82],"difficulties:":[83],"(1)":[84],"how":[85,100],"design":[87,102],"reliable":[89],"method":[92,181],"better":[94],"all":[96],"topologies;":[98],"(2)":[99],"function":[106],"weigh":[111],"features":[113],"global":[115,166],"In":[117],"this":[118,180],"paper,":[119],"new":[121],"adaptive":[122],"convolutional":[125],"model":[127,187],"based":[128],"on":[129,168],"attention":[131],"mechanism":[132],"(APAT-GCN)":[133],"proposed,":[135],"which":[136],"enables":[137],"GNNs":[138],"adaptively":[140],"complete":[141],"process":[143],"aggregation,":[149],"according":[150],"set":[159],"influence":[161],"degree":[162],"node.":[174],"Compared":[175],"with":[176],"other":[177],"classical":[178],"models,":[179],"superior":[183],"baseline":[186],"improve":[190],"accuracy":[192],"node-":[194],"graph-level":[196],"classification":[197],"tasks":[198],"downstream":[200],"tasks.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}