{"id":"https://openalex.org/W4391983246","doi":"https://doi.org/10.3233/jifs-223304","title":"Content and structure based attention for graph node classification","display_name":"Content and structure based attention for graph node classification","publication_year":2024,"publication_date":"2024-02-20","ids":{"openalex":"https://openalex.org/W4391983246","doi":"https://doi.org/10.3233/jifs-223304"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-223304","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-223304","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"article","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/A5087985879","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-4241-1698"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P. R. China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101736803","display_name":"Xiao\u2010Zhu Xie","orcid":"https://orcid.org/0000-0002-5480-8908"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-Zhu Xie","raw_affiliation_strings":["College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P. R. China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058651829","display_name":"Wei Weng","orcid":"https://orcid.org/0000-0002-8484-9065"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Weng","raw_affiliation_strings":["College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P. R. China","Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen, P. R. China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen, P. R. China","institution_ids":["https://openalex.org/I75867142"]},{"raw_affiliation_string":"Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101736803"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.7252,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7273949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"46","issue":"4","first_page":"8329","last_page":"8343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9927999973297119,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8437663316726685},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.641587495803833},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5577744841575623},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5270248651504517},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.46981504559516907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4249264597892761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29971835017204285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8437663316726685},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.641587495803833},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5577744841575623},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5270248651504517},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.46981504559516907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4249264597892761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29971835017204285},{"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":1,"locations":[{"id":"doi:10.3233/jifs-223304","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-223304","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W1949719358","https://openalex.org/W2138397600","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2622826443","https://openalex.org/W2804452400","https://openalex.org/W2884165257","https://openalex.org/W2907492528","https://openalex.org/W2962949934","https://openalex.org/W2964321699","https://openalex.org/W3005144047","https://openalex.org/W3042133669","https://openalex.org/W3082034060","https://openalex.org/W3104097132","https://openalex.org/W3124765941","https://openalex.org/W3124962940","https://openalex.org/W3126958217","https://openalex.org/W3153880451","https://openalex.org/W3158002239","https://openalex.org/W3178330258","https://openalex.org/W3186179742","https://openalex.org/W3194218357","https://openalex.org/W3208988670","https://openalex.org/W3212515727","https://openalex.org/W3213114096","https://openalex.org/W4206097006","https://openalex.org/W4210541032","https://openalex.org/W4212890727","https://openalex.org/W4226070402","https://openalex.org/W4226190696","https://openalex.org/W4281686250","https://openalex.org/W4285721766","https://openalex.org/W4294558607","https://openalex.org/W4309721822","https://openalex.org/W6637178625","https://openalex.org/W6682839888","https://openalex.org/W6720006811","https://openalex.org/W6738964360","https://openalex.org/W6753335390","https://openalex.org/W6770901814","https://openalex.org/W6773948130","https://openalex.org/W6789622600","https://openalex.org/W6803512735","https://openalex.org/W6803972293","https://openalex.org/W6808341861"],"related_works":["https://openalex.org/W2079133310","https://openalex.org/W2374502283","https://openalex.org/W4385715500","https://openalex.org/W2048701728","https://openalex.org/W2905205967","https://openalex.org/W2014897315","https://openalex.org/W4380998076","https://openalex.org/W4389995241","https://openalex.org/W4320149722","https://openalex.org/W3213655484"],"abstract_inverted_index":{"Graph-structured":[0],"data":[1,171],"is":[2,20,64,86,119],"ubiquitous":[3],"in":[4,61,91,165],"real-world":[5],"applications,":[6],"such":[7],"as":[8],"social":[9],"networks,":[10,12],"citation":[11],"and":[13,39,56,79,121,134,147,170],"communication":[14],"networks.":[15],"Graph":[16],"neural":[17],"network":[18,151],"(GNN)":[19],"the":[21,46,53,57,62,89,92,96,105,112,117,143],"key":[22],"to":[23,51,74,87,126],"process":[24],"them.":[25],"In":[26],"recent":[27],"years,":[28],"graph":[29,63,80,149],"attention":[30,54,72,106,150],"networks":[31],"(GATs)":[32],"have":[33],"been":[34],"proposed":[35,144,155],"for":[36],"node":[37,77,166],"classification":[38],"achieved":[40],"encouraging":[41],"performance.":[42],"It":[43],"focuses":[44],"on":[45,49,160],"content":[47,78],"associated":[48],"nodes":[50],"evaluate":[52],"weights,":[55],"rich":[58],"structure":[59,81,94],"information":[60],"almost":[65],"ignored.":[66],"Therefore,":[67],"we":[68],"propose":[69],"a":[70,161],"multi-head":[71],"mechanism":[73,118],"fully":[75],"employ":[76],"information.":[82],"The":[83,168],"core":[84],"idea":[85],"introduce":[88],"interactions":[90],"topological":[93],"into":[95],"existing":[97],"GATs.":[98,115],"This":[99],"method":[100],"can":[101,128,135],"more":[102],"accurately":[103,129],"estimate":[104],"weights":[107],"among":[108],"nodes,":[109],"thereby":[110],"improving":[111],"convergence":[113],"of":[114,163],"Second,":[116],"lightweight":[120],"efficient,":[122],"requires":[123],"no":[124],"training":[125],"learn,":[127],"analyze":[130],"higher-order":[131],"structural":[132],"information,":[133],"be":[136],"strongly":[137],"interpreted":[138],"through":[139],"heatmaps.":[140],"We":[141],"name":[142],"model":[145,156],"content-":[146],"structure-based":[148],"(CSGAT).":[152],"Furthermore,":[153],"our":[154],"achieves":[157],"state-of-the-art":[158],"performance":[159],"number":[162],"datasets":[164],"classification.":[167],"code":[169],"are":[172],"available":[173],"at":[174],"https://github.com/CroakerShark/CSGAT.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}