{"id":"https://openalex.org/W2207830453","doi":"https://doi.org/10.1142/s0218001416500051","title":"Learning Graph Matching Substitution Weights Based on the Ground Truth Node Correspondence","display_name":"Learning Graph Matching Substitution Weights Based on the Ground Truth Node Correspondence","publication_year":2015,"publication_date":"2015-10-19","ids":{"openalex":"https://openalex.org/W2207830453","doi":"https://doi.org/10.1142/s0218001416500051","mag":"2207830453"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001416500051","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416500051","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5089647019","display_name":"Xavier Cort\u00e9s","orcid":"https://orcid.org/0000-0002-3574-4814"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xavier Cort\u00e9s","raw_affiliation_strings":["Universitat Rovira i Virgili, 43003 Tarragona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Rovira i Virgili, 43003 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090033395","display_name":"Francesc Serratosa","orcid":"https://orcid.org/0000-0001-6112-5913"},"institutions":[{"id":"https://openalex.org/I55952717","display_name":"Universitat Rovira i Virgili","ror":"https://ror.org/00g5sqv46","country_code":"ES","type":"education","lineage":["https://openalex.org/I55952717"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Francesc Serratosa","raw_affiliation_strings":["Universitat Rovira i Virgili, 43003 Tarragona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Rovira i Virgili, 43003 Tarragona, Spain","institution_ids":["https://openalex.org/I55952717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090033395"],"corresponding_institution_ids":["https://openalex.org/I55952717"],"apc_list":null,"apc_paid":null,"fwci":2.0204,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.91324646,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":"02","first_page":"1650005","last_page":"1650005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5598773956298828},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5190799236297607},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5116927623748779},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49898505210876465},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.49815893173217773},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4518987834453583},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.449199378490448},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.43920114636421204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43083125352859497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39851823449134827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3741165101528168},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21696272492408752}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5598773956298828},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5190799236297607},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5116927623748779},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49898505210876465},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.49815893173217773},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4518987834453583},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.449199378490448},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.43920114636421204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43083125352859497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39851823449134827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3741165101528168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21696272492408752},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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:10.1142/s0218001416500051","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001416500051","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W34399546","https://openalex.org/W977182947","https://openalex.org/W1590776313","https://openalex.org/W1814080300","https://openalex.org/W1903491772","https://openalex.org/W1965748532","https://openalex.org/W1970125297","https://openalex.org/W1970615687","https://openalex.org/W1972386210","https://openalex.org/W1974318365","https://openalex.org/W1975844474","https://openalex.org/W1976466396","https://openalex.org/W1983203670","https://openalex.org/W1983681808","https://openalex.org/W1986550506","https://openalex.org/W1991730503","https://openalex.org/W1993985657","https://openalex.org/W1996611764","https://openalex.org/W2005688170","https://openalex.org/W2010203455","https://openalex.org/W2010541316","https://openalex.org/W2012459404","https://openalex.org/W2015422375","https://openalex.org/W2026625220","https://openalex.org/W2027805278","https://openalex.org/W2038904236","https://openalex.org/W2042834622","https://openalex.org/W2051786535","https://openalex.org/W2057126640","https://openalex.org/W2063216540","https://openalex.org/W2068654564","https://openalex.org/W2069703496","https://openalex.org/W2070532266","https://openalex.org/W2076554191","https://openalex.org/W2083748845","https://openalex.org/W2100937287","https://openalex.org/W2105842272","https://openalex.org/W2109294083","https://openalex.org/W2109722166","https://openalex.org/W2123224804","https://openalex.org/W2145634381","https://openalex.org/W2145862832","https://openalex.org/W2150760714","https://openalex.org/W2152132697","https://openalex.org/W2152953631","https://openalex.org/W2159277216","https://openalex.org/W2159537329","https://openalex.org/W2162551958","https://openalex.org/W2166820607","https://openalex.org/W2170607286","https://openalex.org/W2172236671","https://openalex.org/W2194405612","https://openalex.org/W2222512263","https://openalex.org/W2345549417","https://openalex.org/W2487305562","https://openalex.org/W2497849059"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2885323543","https://openalex.org/W2145649715","https://openalex.org/W2049983311","https://openalex.org/W2088946561"],"abstract_inverted_index":{"In":[0,41,97],"pattern":[1],"recognition,":[2],"it":[3],"is":[4,31,49,130],"usual":[5],"to":[6,60,72,82,104],"compare":[7],"structured":[8,47],"objects":[9,48],"through":[10,51],"attributed":[11,55],"graphs":[12,124],"in":[13,27],"which":[14],"nodes":[15,38],"represent":[16],"local":[17,29,88],"parts":[18,30],"and":[19,65,79,111,125],"edges":[20],"relations":[21],"between":[22,46,54,68,95,118,123],"them.":[23],"Thus,":[24],"each":[25,87,109],"characteristic":[26,89],"the":[28,37,44,63,77,84,92,106,116,119,126],"represented":[32],"by":[33],"different":[34],"attributes":[35,81],"on":[36,76],"or":[39],"edges.":[40],"this":[42,98],"framework,":[43],"comparison":[45],"performed":[50],"a":[52,102],"distance":[53,64,93,117],"graphs.":[56,96],"If":[57],"we":[58,70,100],"want":[59],"correctly":[61],"tune":[62],"node":[66,78,110],"correspondence":[67,122,129],"graphs,":[69],"need":[71],"add":[73],"some":[74],"weights":[75,107],"edge":[80,112],"gauge":[83],"importance":[85],"of":[86,108],"while":[90],"defining":[91],"measure":[94],"paper,":[99],"present":[101],"method":[103],"learn":[105],"attribute":[113],"such":[114],"that":[115],"ground":[120],"truth":[121],"automatically":[127],"obtained":[128],"minimized.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}