{"id":"https://openalex.org/W4391362659","doi":"https://doi.org/10.3233/jifs-231369","title":"Region adjacency graph based GNN approach for static signature classification","display_name":"Region adjacency graph based GNN approach for static signature classification","publication_year":2024,"publication_date":"2024-01-30","ids":{"openalex":"https://openalex.org/W4391362659","doi":"https://doi.org/10.3233/jifs-231369"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-231369","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-231369","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 &amp; 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/A5093823362","display_name":"A. Danielraj","orcid":null},"institutions":[{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"A. Danielraj","raw_affiliation_strings":["Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India","institution_ids":["https://openalex.org/I916357946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004685110","display_name":"P. Venugopal","orcid":"https://orcid.org/0000-0002-6602-4334"},"institutions":[{"id":"https://openalex.org/I26604189","display_name":"Shiv Nadar University","ror":"https://ror.org/05aqahr97","country_code":"IN","type":"education","lineage":["https://openalex.org/I26604189"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Venugopal","raw_affiliation_strings":["Mathematics, School of Science and Humanities, Shiv Nadar University Chennai, Kalavakkam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics, School of Science and Humanities, Shiv Nadar University Chennai, Kalavakkam, India","institution_ids":["https://openalex.org/I26604189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050947852","display_name":"N. Padmapriya","orcid":null},"institutions":[{"id":"https://openalex.org/I916357946","display_name":"Sri Sivasubramaniya Nadar College of Engineering","ror":"https://ror.org/054psm803","country_code":null,"type":"education","lineage":["https://openalex.org/I916357946"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Padmapriya","raw_affiliation_strings":["Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India","institution_ids":["https://openalex.org/I916357946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093823362"],"corresponding_institution_ids":["https://openalex.org/I916357946"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00818442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":"3","first_page":"6977","last_page":"6994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9954000115394592,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9926000237464905,"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/adjacency-list","display_name":"Adjacency list","score":0.8861793875694275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485239267349243},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5594809055328369},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47820067405700684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4551025927066803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3307867646217346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27599138021469116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2045910358428955},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16017335653305054},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.03413867950439453}],"concepts":[{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.8861793875694275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485239267349243},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5594809055328369},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47820067405700684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4551025927066803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3307867646217346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27599138021469116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2045910358428955},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16017335653305054},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.03413867950439453}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-231369","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-231369","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 &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1964159865","https://openalex.org/W1977072130","https://openalex.org/W2046016527","https://openalex.org/W2053438338","https://openalex.org/W2068297092","https://openalex.org/W2093804096","https://openalex.org/W2116341502","https://openalex.org/W2118246710","https://openalex.org/W2187089797","https://openalex.org/W2465763144","https://openalex.org/W2594785588","https://openalex.org/W2614376571","https://openalex.org/W2748075849","https://openalex.org/W2800791174","https://openalex.org/W2804847616","https://openalex.org/W2898714651","https://openalex.org/W2903718489","https://openalex.org/W2911424601","https://openalex.org/W2963524959","https://openalex.org/W2965031610","https://openalex.org/W2977063634","https://openalex.org/W2997035976","https://openalex.org/W2998526951","https://openalex.org/W3015065932","https://openalex.org/W3048672684","https://openalex.org/W3095722810","https://openalex.org/W3109466111","https://openalex.org/W3120806934","https://openalex.org/W3128940464","https://openalex.org/W3193336453","https://openalex.org/W3212189205","https://openalex.org/W4207007961","https://openalex.org/W4283391017","https://openalex.org/W4296019810","https://openalex.org/W6771852011","https://openalex.org/W6776247374","https://openalex.org/W6803474168","https://openalex.org/W6806893822"],"related_works":["https://openalex.org/W2611163850","https://openalex.org/W3015250136","https://openalex.org/W1980812295","https://openalex.org/W1845849701","https://openalex.org/W2044218713","https://openalex.org/W2625268413","https://openalex.org/W2962989220","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2900798793"],"abstract_inverted_index":{"Graph":[0],"Neural":[1],"Networks":[2],"(GNNs)":[3],"have":[4],"gained":[5],"popularity":[6],"across":[7],"various":[8],"research":[9],"fields":[10],"in":[11,29],"recent":[12],"years.":[13],"GNNs":[14],"utilize":[15],"graphs":[16],"to":[17,57,102,110,127],"construct":[18],"an":[19,93],"embedding":[20],"that":[21,141],"includes":[22],"details":[23],"about":[24],"the":[25,44,59,62,77,129],"nodes":[26,60],"and":[27,123,136,153,156,163],"edges":[28],"a":[30,36,73,82,146],"graph\u2019s":[31],"neighborhood.":[32],"In":[33],"this":[34],"work,":[35],"set":[37],"of":[38,61,79,81,149,159],"Region":[39],"Adjacency":[40],"Graphs":[41],"(RAG)":[42],"derives":[43],"attribute":[45,53],"values":[46,54],"from":[47,76],"Static":[48],"Signature":[49],"(SS)":[50],"images.":[51],"These":[52],"are":[55,125],"used":[56,126],"label":[58],"complete":[63,86],"graph,":[64],"which":[65],"is":[66,88],"formed":[67],"by":[68,90],"considering":[69],"each":[70],"signature":[71,109,119,138],"as":[72,113],"node":[74,107,167],"taken":[75],"sample":[78],"signatures":[80],"specific":[83],"signer.":[84],"The":[85],"graph":[87],"trained":[89,99],"using":[91],"GraphSAGE,":[92],"inductive":[94],"representation":[95],"learning":[96],"method.":[97],"This":[98],"model":[100,144],"helps":[101],"determine":[103],"any":[104],"newly":[105],"introduced":[106],"(static":[108],"be":[111],"tested)":[112],"genuine":[114,135],"or":[115],"fake.":[116],"Standard":[117],"static":[118],"datasets,":[120],"notably":[121],"GPDSsynthetic":[122],"MCYT-75":[124,154,164],"test":[128],"prevailing":[130],"model.":[131],"Experimental":[132],"results":[133],"on":[134,166],"counterfeit":[137],"networks":[139],"demonstrate":[140],"our":[142],"computed":[143],"enables":[145],"high":[147],"rate":[148],"accuracy":[150],"(GPDSsynthetic":[151,161],"99.91%":[152],"99.56%)":[155],"minimum":[157],"range":[158],"loss":[160],"0.0061":[162],"0.0070)":[165],"classification.":[168]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
