{"id":"https://openalex.org/W3206228410","doi":"https://doi.org/10.3233/sw-210452","title":"Discovering alignment relations with Graph Convolutional Networks: A biomedical case study","display_name":"Discovering alignment relations with Graph Convolutional Networks: A biomedical case study","publication_year":2021,"publication_date":"2021-11-23","ids":{"openalex":"https://openalex.org/W3206228410","doi":"https://doi.org/10.3233/sw-210452","mag":"3206228410"},"language":"en","primary_location":{"id":"doi:10.3233/sw-210452","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-210452","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw210452?id=semantic-web%2Fsw210452","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://content.iospress.com:443/download/semantic-web/sw210452?id=semantic-web%2Fsw210452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088952442","display_name":"Pierre Monnin","orcid":"https://orcid.org/0000-0002-2017-8426"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Monnin","raw_affiliation_strings":["Orange, Belfort, France","Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France","Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France. E-mails:\u00a0pierre.monnin@loria.fr,\u00a0chedy.raissi@inria.fr,\u00a0amedeo.napoli@loria.fr,\u00a0adrien.coulet@inria.fr"],"affiliations":[{"raw_affiliation_string":"Orange, Belfort, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I1294671590","https://openalex.org/I4210121838"]},{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France. E-mails:\u00a0pierre.monnin@loria.fr,\u00a0chedy.raissi@inria.fr,\u00a0amedeo.napoli@loria.fr,\u00a0adrien.coulet@inria.fr","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066869710","display_name":"Chedy Ra\u00efssi","orcid":"https://orcid.org/0000-0002-6100-7519"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Chedy Ra\u00efssi","raw_affiliation_strings":["Ubisoft, Singapore","Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France","French Institute for Research in Computer Science and Automation"],"affiliations":[{"raw_affiliation_string":"Ubisoft, Singapore","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I1294671590","https://openalex.org/I4210121838"]},{"raw_affiliation_string":"French Institute for Research in Computer Science and Automation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026515643","display_name":"Amedeo Napoli","orcid":"https://orcid.org/0000-0001-5236-9561"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Amedeo Napoli","raw_affiliation_strings":["Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France","Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France. E-mails:\u00a0pierre.monnin@loria.fr,\u00a0chedy.raissi@inria.fr,\u00a0amedeo.napoli@loria.fr,\u00a0adrien.coulet@inria.fr"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I1294671590","https://openalex.org/I4210121838"]},{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France. E-mails:\u00a0pierre.monnin@loria.fr,\u00a0chedy.raissi@inria.fr,\u00a0amedeo.napoli@loria.fr,\u00a0adrien.coulet@inria.fr","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082641159","display_name":"Adrien Coulet","orcid":"https://orcid.org/0000-0002-1466-062X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I4210092322","display_name":"Centre de Recherche des Cordeliers","ror":"https://ror.org/00dmms154","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I204730241","https://openalex.org/I39804081","https://openalex.org/I4210092322"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adrien Coulet","raw_affiliation_strings":["Centre de Recherche des Cordeliers (UMR1138 Inserm, Universit\u00e9 de Paris, Sorbonne Universit\u00e9), F-75006 Paris, France","Inria Paris, F-75012 Paris, France","Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France","French Institute for Research in Computer Science and Automation"],"affiliations":[{"raw_affiliation_string":"Centre de Recherche des Cordeliers (UMR1138 Inserm, Universit\u00e9 de Paris, Sorbonne Universit\u00e9), F-75006 Paris, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I39804081","https://openalex.org/I4210092322","https://openalex.org/I204730241"]},{"raw_affiliation_string":"Inria Paris, F-75012 Paris, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, Inria, LORIA, F-54000 Nancy, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I1294671590","https://openalex.org/I4210121838"]},{"raw_affiliation_string":"French Institute for Research in Computer Science and Automation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088952442"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I19370010","https://openalex.org/I4210121838","https://openalex.org/I90183372"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09949825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"3","first_page":"379","last_page":"398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.676103413105011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6317529678344727},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6217149496078491},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5931332111358643},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5631093382835388},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5305593013763428},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5112206935882568},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4955865144729614},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.47572043538093567},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.43014055490493774},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41394349932670593},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3387076258659363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3350594937801361},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2708168029785156}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.676103413105011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6317529678344727},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6217149496078491},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5931332111358643},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5631093382835388},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5305593013763428},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5112206935882568},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4955865144729614},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.47572043538093567},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.43014055490493774},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41394349932670593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3387076258659363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3350594937801361},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2708168029785156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/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":5,"locations":[{"id":"doi:10.3233/sw-210452","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-210452","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw210452?id=semantic-web%2Fsw210452","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2011.06023","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.06023","pdf_url":"https://arxiv.org/pdf/2011.06023","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3206228410","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2011.06023.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-03452182v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-03452182","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"Semantic Web \u2013 Interoperability, Usability, Applicability, 2022, pp.1-20. &#x27E8;10.3233/SW-210452&#x27E9;","raw_type":"Journal articles"},{"id":"doi:10.48550/arxiv.2011.06023","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.06023","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.3233/sw-210452","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-210452","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw210452?id=semantic-web%2Fsw210452","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4110391279","display_name":null,"funder_award_id":"project,","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6851345361","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3206228410.pdf","grobid_xml":"https://content.openalex.org/works/W3206228410.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1529533208","https://openalex.org/W1555563750","https://openalex.org/W2063280109","https://openalex.org/W2108182085","https://openalex.org/W2127795553","https://openalex.org/W2137079713","https://openalex.org/W2160642098","https://openalex.org/W2395637900","https://openalex.org/W2523679382","https://openalex.org/W2604314403","https://openalex.org/W2759136286","https://openalex.org/W2890187992","https://openalex.org/W2899283726","https://openalex.org/W2914217871","https://openalex.org/W2953176424","https://openalex.org/W2962819387","https://openalex.org/W2963224980","https://openalex.org/W2963571857","https://openalex.org/W2963850040","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W3007332492","https://openalex.org/W3024156238","https://openalex.org/W3136802089","https://openalex.org/W3165720681","https://openalex.org/W3166265964","https://openalex.org/W4210970219","https://openalex.org/W4239696231","https://openalex.org/W4247105055"],"related_works":["https://openalex.org/W2898993578","https://openalex.org/W3156926010","https://openalex.org/W3157311414","https://openalex.org/W3144247401","https://openalex.org/W2946038989","https://openalex.org/W3006736514","https://openalex.org/W3101753637","https://openalex.org/W3166351762","https://openalex.org/W3169717287","https://openalex.org/W2886459569","https://openalex.org/W3121958287","https://openalex.org/W3093519300","https://openalex.org/W3040043284","https://openalex.org/W1711393703","https://openalex.org/W3156855620","https://openalex.org/W3208402536","https://openalex.org/W3211088295","https://openalex.org/W2788103932","https://openalex.org/W2251363251","https://openalex.org/W3136121174"],"abstract_inverted_index":{"Knowledge":[0],"graphs":[1],"are":[2,41,187],"freely":[3],"aggregated,":[4],"published,":[5],"and":[6,13,80,131,155,205],"edited":[7],"in":[8,22,76,88,114,160,183,207,218],"the":[9,31,77,107,115,126,135,158,171,184,190,208],"Web":[10],"of":[11,38,96,111,117,192],"data,":[12],"thus":[14],"may":[15],"overlap.":[16],"Hence,":[17],"a":[18,57,97,212],"key":[19],"task":[20,29],"resides":[21],"aligning":[23,112],"(or":[24],"matching)":[25],"their":[26,86],"content.":[27],"This":[28],"encompasses":[30],"identification,":[32],"within":[33,56],"an":[34],"aggregated":[35],"knowledge":[36,58,113,130],"graph,":[37],"nodes":[39,55,72,83,95],"that":[40,70,181],"equivalent,":[42],"more":[43],"specific,":[44],"or":[45,149],"weakly":[46],"related.":[47],"In":[48],"this":[49,104],"article,":[50],"we":[51,140,156,179],"propose":[52],"to":[53,90,170,214],"match":[54],"graph":[59],"by":[60],"(i)":[61],"learning":[62,152],"node":[63,153],"embeddings":[64],"with":[65,103,134,145,189],"Graph":[66],"Convolutional":[67],"Networks":[68],"such":[69],"similar":[71],"have":[73],"low":[74],"distances":[75,182,198,206],"embedding":[78,185,209],"space,":[79],"(ii)":[81],"clustering":[82,204],"based":[84],"on":[85,106],"embeddings,":[87,154],"order":[89],"suggest":[91,215],"alignment":[92,173,216],"relations":[93,174,195,217],"between":[94,128],"same":[98],"cluster.":[99],"We":[100,123],"conducted":[101],"experiments":[102],"approach":[105],"real":[108],"world":[109],"application":[110],"field":[116],"pharmacogenomics,":[118],"which":[119],"motivated":[120],"our":[121,165,219],"study.":[122,221],"particularly":[124],"investigated":[125],"interplay":[127],"domain":[129,146],"GCN":[132,166],"models":[133],"two":[136],"following":[137],"focuses.":[138],"First,":[139],"applied":[141],"inference":[142],"rules":[143],"associated":[144],"knowledge,":[147],"independently":[148],"combined,":[150],"before":[151],"measured":[157],"improvements":[159],"matching":[161],"results.":[162],"Second,":[163],"while":[164],"model":[167],"is":[168],"agnostic":[169],"exact":[172],"(e.g.,":[175,196],"equivalence,":[176],"weak":[177],"similarity),":[178],"observed":[180],"space":[186,210],"coherent":[188],"\u201cstrength\u201d":[191],"these":[193],"different":[194],"smaller":[197],"for":[199],"equivalences),":[200],"letting":[201],"us":[202],"considering":[203],"as":[211],"means":[213],"case":[220]},"counts_by_year":[],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2022-10-02T00:00:00"}
