{"id":"https://openalex.org/W4375863479","doi":"https://doi.org/10.3390/sym15051036","title":"Multi-Order-Content-Based Adaptive Graph Attention Network for Graph Node Classification","display_name":"Multi-Order-Content-Based Adaptive Graph Attention Network for Graph Node Classification","publication_year":2023,"publication_date":"2023-05-07","ids":{"openalex":"https://openalex.org/W4375863479","doi":"https://doi.org/10.3390/sym15051036"},"language":"en","primary_location":{"id":"doi:10.3390/sym15051036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15051036","pdf_url":"https://www.mdpi.com/2073-8994/15/5/1036/pdf?version=1684134612","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/15/5/1036/pdf?version=1684134612","any_repository_has_fulltext":true},"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 361024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, 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 361024, China"],"raw_orcid":"https://orcid.org/0000-0002-5480-8908","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","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 361024, China","Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen 361024, China"],"raw_orcid":"https://orcid.org/0000-0002-8484-9065","affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China","institution_ids":["https://openalex.org/I75867142"]},{"raw_affiliation_string":"Fujian Key Laboratory of Pattern Recognition and Image Understanding, Xiamen 361024, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101829232","display_name":"Yifan He","orcid":"https://orcid.org/0000-0003-2142-3208"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Fan He","raw_affiliation_strings":["Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen 518055, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligence Science and Engineering, Shenzhen Polytechnic, Shenzhen 518055, China","institution_ids":["https://openalex.org/I182722699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101736803"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.7911,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76613048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"5","first_page":"1036","last_page":"1036"},"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":0.9884999990463257,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9786999821662903,"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":0.8136748671531677},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7238706350326538},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6141024827957153},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5205700993537903},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.47104740142822266},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4612279236316681},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4559619128704071},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44996377825737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31470566987991333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08326205611228943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8136748671531677},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7238706350326538},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6141024827957153},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5205700993537903},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.47104740142822266},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4612279236316681},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4559619128704071},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44996377825737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31470566987991333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08326205611228943},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/sym15051036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15051036","pdf_url":"https://www.mdpi.com/2073-8994/15/5/1036/pdf?version=1684134612","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1ad4df9aac7546e8a1f5a479dc9c0c4c","is_oa":false,"landing_page_url":"https://doaj.org/article/1ad4df9aac7546e8a1f5a479dc9c0c4c","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 15, Iss 5, p 1036 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/15/5/1036/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym15051036","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":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym15051036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym15051036","pdf_url":"https://www.mdpi.com/2073-8994/15/5/1036/pdf?version=1684134612","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4375863479.pdf"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W1908728294","https://openalex.org/W2095705004","https://openalex.org/W2154851992","https://openalex.org/W2403788960","https://openalex.org/W2519887557","https://openalex.org/W2624431344","https://openalex.org/W2901504064","https://openalex.org/W2914622179","https://openalex.org/W2950697450","https://openalex.org/W2962949934","https://openalex.org/W3003422837","https://openalex.org/W3081200629","https://openalex.org/W3090016979","https://openalex.org/W3090999459","https://openalex.org/W3093814892","https://openalex.org/W3096557358","https://openalex.org/W3101073376","https://openalex.org/W3104097132","https://openalex.org/W3123418887","https://openalex.org/W3123909522","https://openalex.org/W3128443161","https://openalex.org/W3152831887","https://openalex.org/W3157127187","https://openalex.org/W3189241502","https://openalex.org/W4213422824","https://openalex.org/W4214598038","https://openalex.org/W4220808225","https://openalex.org/W4221057629","https://openalex.org/W4224325975","https://openalex.org/W4285128056","https://openalex.org/W4290875022","https://openalex.org/W4291940905","https://openalex.org/W4296143727","https://openalex.org/W4306168996","https://openalex.org/W4310275486","https://openalex.org/W4311939156","https://openalex.org/W4312385844","https://openalex.org/W4313288140","https://openalex.org/W4313639719","https://openalex.org/W4317932208","https://openalex.org/W4320060387","https://openalex.org/W4321781319","https://openalex.org/W6630044934","https://openalex.org/W6674330103","https://openalex.org/W6682839888","https://openalex.org/W6754884518","https://openalex.org/W6760001035","https://openalex.org/W6771621015","https://openalex.org/W6785434593","https://openalex.org/W6791847890","https://openalex.org/W6803512735"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W4392094631","https://openalex.org/W4389995241","https://openalex.org/W4320149722","https://openalex.org/W3213655484"],"abstract_inverted_index":{"In":[0,186],"graph-structured":[1],"data,":[2],"the":[3,14,20,38,77,86,124,133,151,174,181,184,196,208,213],"node":[4],"content":[5,15,56,94,102,112,148],"contains":[6],"rich":[7],"information.":[8],"Therefore,":[9],"how":[10],"to":[11,18,103,150,159],"effectively":[12],"utilize":[13,37,76,118],"is":[16,57],"crucial":[17],"improve":[19],"performance":[21],"of":[22,79,127,183,212],"graph":[23,45,68,162],"convolutional":[24],"networks":[25,47],"(GCNs)":[26],"on":[27,51,100,191],"various":[28],"analytical":[29],"tasks.":[30],"However,":[31],"current":[32],"GCNs":[33],"do":[34],"not":[35],"fully":[36,75,117],"content,":[39,53,120],"especially":[40],"multi-order":[41,80,111,119],"content.":[42,81,131],"For":[43],"example,":[44],"attention":[46,69,95,105,113,125,163,175],"(GATs)":[48],"only":[49],"focus":[50,99],"low-order":[52,130,147],"while":[54],"high-order":[55,93,101],"completely":[58],"ignored.":[59],"To":[60],"address":[61],"this":[62,157],"issue,":[63],"we":[64,90,108,155,188],"propose":[65,109],"a":[66,92,110,141,161],"novel":[67],"network":[70,164],"with":[71,165,199],"adaptability":[72],"that":[73,97,115],"could":[74,98,170],"features":[78],"Its":[82],"core":[83],"idea":[84],"has":[85,135],"following":[87],"novelties:":[88],"First,":[89],"constructed":[91],"mechanism":[96,114,134,158,169],"evaluate":[104,173],"weights.":[106],"Second,":[107],"can":[116,139],"i.e.,":[121,137],"it":[122,138],"combines":[123],"mechanisms":[126],"high-":[128,145],"and":[129,146,194,210],"Furthermore,":[132],"adaptability,":[136],"perform":[140],"good":[142],"trade-off":[143],"between":[144,177],"according":[149],"task":[152],"requirements.":[153],"Lastly,":[154],"applied":[156],"constructing":[160],"structural":[166],"symmetry.":[167],"This":[168],"more":[171],"reasonably":[172],"weights":[176],"nodes,":[178],"thereby":[179],"improving":[180],"convergence":[182],"network.":[185],"addition,":[187],"conducted":[189],"experiments":[190],"multiple":[192,203],"datasets":[193],"compared":[195],"proposed":[197,214],"model":[198],"state-of-the-art":[200],"models":[201],"in":[202],"dimensions.":[204],"The":[205],"results":[206],"validate":[207],"feasibility":[209],"effectiveness":[211],"model.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
