{"id":"https://openalex.org/W4406590785","doi":"https://doi.org/10.1587/transinf.2024edp7086","title":"A Spatial Graph Convolutional Network Based on Node Semantic for Graph Classification","display_name":"A Spatial Graph Convolutional Network Based on Node Semantic for Graph Classification","publication_year":2025,"publication_date":"2025-01-19","ids":{"openalex":"https://openalex.org/W4406590785","doi":"https://doi.org/10.1587/transinf.2024edp7086"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2024edp7086","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edp7086","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/7/E108.D_2024EDP7086/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/7/E108.D_2024EDP7086/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101513861","display_name":"Jinyong Sun","orcid":"https://orcid.org/0000-0001-8032-7967"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyong SUN","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613152","display_name":"Zhiwei Dong","orcid":"https://orcid.org/0000-0002-3216-7089"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei DONG","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058071048","display_name":"Zhigang Sun","orcid":"https://orcid.org/0000-0003-1705-1165"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang SUN","raw_affiliation_strings":["Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036138866","display_name":"Guoyong Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyong CAI","raw_affiliation_strings":["Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065273431","display_name":"Xiang Zhao","orcid":"https://orcid.org/0000-0001-7526-8261"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang ZHAO","raw_affiliation_strings":["Key Laboratory of Cognitive Radio and Information Processing, Guilin University of Electronic Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Cognitive Radio and Information Processing, Guilin University of Electronic Technology","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00324527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"E108.D","issue":"7","first_page":"760","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.8712000250816345,"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":0.8712000250816345,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.8111000061035156,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.7735000252723694,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8764240741729736},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5667963624000549},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4897644519805908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38844403624534607},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33118292689323425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8764240741729736},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5667963624000549},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4897644519805908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38844403624534607},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33118292689323425}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2024edp7086","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edp7086","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/7/E108.D_2024EDP7086/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2024edp7086","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2024edp7086","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E108.D/7/E108.D_2024EDP7086/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G100400666","display_name":"\u57fa\u4e8e\u4e8b\u4f8b\u63a8\u7406\u548c\u884c\u4e3a\u7279\u5f81\u7684\u8bed\u4e49\u5de5\u4f5c\u6d41\u5f02\u5e38\u5904\u7406\u673a\u5236\u53ca\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61862016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3585316944","display_name":"\u9762\u5411\u79fb\u52a8\u7528\u6237\u7684NOMA\u53ef\u89c1\u5149\u901a\u4fe1\u7269\u7406\u5c42\u5b89\u5168\u7814\u7a76","funder_award_id":"61961007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5274541660","display_name":null,"funder_award_id":"62006058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5544756414","display_name":null,"funder_award_id":"GuikeAD21220096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7557307794","display_name":"\u57fa\u4e8e\u77e5\u8bc6\u8868\u793a\u5b66\u4e60\u7684\u4e2a\u6027\u5316\u5174\u8da3\u70b9\u63a8\u8350\u7814\u7a76","funder_award_id":"62066010","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/F4320323266","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406590785.pdf","grobid_xml":"https://content.openalex.org/works/W4406590785.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1662382123","https://openalex.org/W2008857988","https://openalex.org/W2131744502","https://openalex.org/W2159156271","https://openalex.org/W2250539671","https://openalex.org/W2406128552","https://openalex.org/W2465015709","https://openalex.org/W2468907370","https://openalex.org/W2519887557","https://openalex.org/W2606202972","https://openalex.org/W2624431344","https://openalex.org/W2737925311","https://openalex.org/W2751808960","https://openalex.org/W2788919350","https://openalex.org/W2894175828","https://openalex.org/W2907492528","https://openalex.org/W2910121883","https://openalex.org/W2925177113","https://openalex.org/W2997371401","https://openalex.org/W3047609316","https://openalex.org/W3095213891","https://openalex.org/W3096561213","https://openalex.org/W4221151675","https://openalex.org/W4280602833","https://openalex.org/W4323808486","https://openalex.org/W4362469992","https://openalex.org/W4391490096"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W3115442681","https://openalex.org/W2007838763","https://openalex.org/W2391000461","https://openalex.org/W2972311463"],"abstract_inverted_index":{"Graph":[0,24,100],"classification":[1,37,58,89,106,231],"has":[2],"gained":[3],"significant":[4],"attention":[5,183],"in":[6,14,87,261],"recent":[7],"years":[8],"due":[9],"to":[10,30,66,71,74,137,190,212,218],"its":[11],"wide":[12],"applications":[13],"many":[15],"domains":[16],"such":[17],"as":[18],"cheminformatics,":[19],"bioinformatics":[20],"and":[21,131,159,175,239],"social":[22],"networks.":[23],"neural":[25,53,114,188,243],"networks":[26,54,244],"have":[27],"been":[28],"proved":[29],"be":[31],"an":[32],"effective":[33],"solution":[34],"for":[35,55,104,127],"graph":[36,45,51,57,63,79,88,105,113,129,150,186,193,215,230,236,242,248,262],"because":[38],"of":[39,43,84,124,259],"their":[40,72],"powerful":[41],"ability":[42],"learning":[44],"node":[46,68,110,140,157,168,173],"features.":[47],"However,":[48],"existing":[49],"spatial":[50,185,241],"convolutional":[52,187],"node-labeled":[56],"utilize":[59],"one-hot":[60],"encoding":[61],"or":[62],"kernel":[64,237],"methods":[65,238],"initialize":[67],"features,":[69],"leading":[70],"inability":[73],"capture":[75],"semantic":[76,111,141,174],"dependencies":[77],"among":[78],"nodes,":[80],"with":[81,116,234],"the":[82,134,213],"result":[83],"a":[85,96,128,167,181,204,209,255],"decrease":[86],"accuracy.":[90],"In":[91],"this":[92],"paper,":[93],"we":[94,120,147,165,179,202],"propose":[95,166],"Node":[97],"Semantic-based":[98],"Spatial":[99],"Convolutional":[101],"Network":[102],"(NSSGCN)":[103],"which":[107,164],"integrates":[108],"multi-scale":[109,139],"into":[112,152],"network":[115,189],"word":[117],"embedding.":[118],"Specifically,":[119],"construct":[121],"multiple":[122],"corpora":[123],"different":[125],"granularity":[126],"dataset,":[130],"then":[132],"leverage":[133],"PV-DBOW":[135],"model":[136],"extract":[138],"information":[142],"from":[143,196],"built":[144],"corpora.":[145],"Then,":[146],"normalize":[148],"non-Euclidean":[149],"data":[151,155],"3D":[153,198],"tensor":[154,199],"by":[156,208],"ordering":[158],"receptive":[160],"field":[161],"constructing,":[162],"during":[163],"importance":[169],"measurement":[170],"considering":[171],"both":[172],"topology.":[176],"After":[177],"that,":[178],"design":[180],"channel":[182],"based":[184],"effectively":[191],"learn":[192],"feature":[194,216],"vectors":[195,217],"these":[197],"data.":[200],"Finally,":[201],"apply":[203],"Dense":[205],"layer":[206,211],"followed":[207],"softmax":[210],"learned":[214],"classify":[219],"graphs.":[220],"Experimental":[221],"results":[222],"show":[223],"that":[224],"our":[225,252],"proposed":[226],"method":[227,253],"achieves":[228,254],"superior":[229],"accuracy":[232,257],"compared":[233],"classical":[235],"state-of-the-art":[240],"on":[245],"six":[246],"benchmark":[247],"datasets.":[249],"On":[250],"average,":[251],"remarkable":[256],"improvement":[258],"4.12%":[260],"classification.":[263]},"counts_by_year":[],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2025-10-10T00:00:00"}