{"id":"https://openalex.org/W3211544706","doi":"https://doi.org/10.1007/s41109-021-00420-4","title":"Graph convolutional and attention models for entity classification in multilayer networks","display_name":"Graph convolutional and attention models for entity classification in multilayer networks","publication_year":2021,"publication_date":"2021-11-08","ids":{"openalex":"https://openalex.org/W3211544706","doi":"https://doi.org/10.1007/s41109-021-00420-4","mag":"3211544706"},"language":"en","primary_location":{"id":"doi:10.1007/s41109-021-00420-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-021-00420-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-021-00420-4.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41109-021-00420-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063249025","display_name":"Lorenzo Zangari","orcid":"https://orcid.org/0009-0009-9057-1299"},"institutions":[{"id":"https://openalex.org/I131077856","display_name":"Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement","ror":"https://ror.org/05kpkpg04","country_code":"FR","type":"facility","lineage":["https://openalex.org/I131077856"]},{"id":"https://openalex.org/I4210126969","display_name":"Forests and Societies","ror":"https://ror.org/02pzyz439","country_code":"FR","type":"facility","lineage":["https://openalex.org/I131077856","https://openalex.org/I19894307","https://openalex.org/I4210126969"]},{"id":"https://openalex.org/I4387153996","display_name":"Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale","ror":"https://ror.org/0458hw939","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I131077856","https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153996"]},{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["FR","IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Zangari","raw_affiliation_strings":["Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, Italy","Cirad-ES - D\u00e9partement Environnements et Soci\u00e9t\u00e9s (Campus international de Baillarguet TA C-DIR / B 34398 Montpellier Cedex 5 France - France)","UMR TETIS - Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale (Maison de la t\u00e9l\u00e9d\u00e9tection - 500 rue Jean-Fran\u00e7ois Breton - 34093 Montpellier Cedex 5 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]},{"raw_affiliation_string":"Cirad-ES - D\u00e9partement Environnements et Soci\u00e9t\u00e9s (Campus international de Baillarguet TA C-DIR / B 34398 Montpellier Cedex 5 France - France)","institution_ids":["https://openalex.org/I131077856","https://openalex.org/I4210126969"]},{"raw_affiliation_string":"UMR TETIS - Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale (Maison de la t\u00e9l\u00e9d\u00e9tection - 500 rue Jean-Fran\u00e7ois Breton - 34093 Montpellier Cedex 5 - France)","institution_ids":["https://openalex.org/I4387153996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041660039","display_name":"Roberto Interdonato","orcid":"https://orcid.org/0000-0002-0536-6277"},"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/I131077856","display_name":"Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement","ror":"https://ror.org/05kpkpg04","country_code":"FR","type":"facility","lineage":["https://openalex.org/I131077856"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]},{"id":"https://openalex.org/I4210126969","display_name":"Forests and Societies","ror":"https://ror.org/02pzyz439","country_code":"FR","type":"facility","lineage":["https://openalex.org/I131077856","https://openalex.org/I19894307","https://openalex.org/I4210126969"]},{"id":"https://openalex.org/I4387153996","display_name":"Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale","ror":"https://ror.org/0458hw939","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I131077856","https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668","https://openalex.org/I4387153996"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Roberto Interdonato","raw_affiliation_strings":["TETIS, AgroParisTech, CIRAD, CNRS, INRAE, Univ Montpellier, Montpellier, France","UMR TETIS, Cirad, Montpellier, France","Cirad-ES - D\u00e9partement Environnements et Soci\u00e9t\u00e9s (Campus international de Baillarguet TA C-DIR / B 34398 Montpellier Cedex 5 France - France)","UMR TETIS - Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale (Maison de la t\u00e9l\u00e9d\u00e9tection - 500 rue Jean-Fran\u00e7ois Breton - 34093 Montpellier Cedex 5 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TETIS, AgroParisTech, CIRAD, CNRS, INRAE, Univ Montpellier, Montpellier, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I131077856","https://openalex.org/I19894307","https://openalex.org/I22248866","https://openalex.org/I4210088668","https://openalex.org/I4387153996"]},{"raw_affiliation_string":"UMR TETIS, Cirad, Montpellier, France","institution_ids":["https://openalex.org/I131077856"]},{"raw_affiliation_string":"Cirad-ES - D\u00e9partement Environnements et Soci\u00e9t\u00e9s (Campus international de Baillarguet TA C-DIR / B 34398 Montpellier Cedex 5 France - France)","institution_ids":["https://openalex.org/I131077856","https://openalex.org/I4210126969"]},{"raw_affiliation_string":"UMR TETIS - Territoires, Environnement, T\u00e9l\u00e9d\u00e9tection et Information Spatiale (Maison de la t\u00e9l\u00e9d\u00e9tection - 500 rue Jean-Fran\u00e7ois Breton - 34093 Montpellier Cedex 5 - France)","institution_ids":["https://openalex.org/I4387153996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044267906","display_name":"Antonio Cali\u00f2","orcid":"https://orcid.org/0000-0003-2019-8598"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Cali\u00f3","raw_affiliation_strings":["Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, Italy","DIMES - Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica [Calabria] (Italy)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]},{"raw_affiliation_string":"DIMES - Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica [Calabria] (Italy)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021211836","display_name":"Andrea Tagarelli","orcid":"https://orcid.org/0000-0002-8142-503X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Tagarelli","raw_affiliation_strings":["Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, Italy","DIMES - Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica [Calabria] (Italy)"],"raw_orcid":"https://orcid.org/0000-0002-8142-503X","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Rende, Italy","institution_ids":["https://openalex.org/I45204951"]},{"raw_affiliation_string":"DIMES - Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica [Calabria] (Italy)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5021211836"],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":{"value":1390,"currency":"USD","value_usd":1390},"apc_paid":{"value":1045,"currency":"EUR","value_usd":1127},"fwci":1.5604,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86148998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.983299970626831,"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/computer-science","display_name":"Computer science","score":0.7759518623352051},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6341055631637573},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.49417880177497864},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47790393233299255},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4560936987400055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.439098984003067},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42637383937835693},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4260683059692383},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.41520795226097107},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.41341632604599},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3590184450149536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10003212094306946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759518623352051},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6341055631637573},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.49417880177497864},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47790393233299255},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4560936987400055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.439098984003067},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42637383937835693},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4260683059692383},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.41520795226097107},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.41341632604599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3590184450149536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10003212094306946},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s41109-021-00420-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-021-00420-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-021-00420-4.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03738519v1","is_oa":true,"landing_page_url":"https://hal.inrae.fr/hal-03738519","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"Applied Network Science, 2021, 6 (1), pp.87. &#x27E8;10.1007/s41109-021-00420-4&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:agritrop.cirad.fr:600094","is_oa":true,"landing_page_url":"http://agritrop.cirad.fr/600094/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402311","display_name":"Agritrop (Cirad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I131077856","host_organization_name":"Centre de Coop\u00e9ration Internationale en Recherche Agronomique pour le D\u00e9veloppement","host_organization_lineage":["https://openalex.org/I131077856"],"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":"Applied Network Science","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:d1bb34a33b554382b426d19c23350495","is_oa":true,"landing_page_url":"https://doaj.org/article/d1bb34a33b554382b426d19c23350495","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Network Science, Vol 6, Iss 1, Pp 1-36 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41109-021-00420-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41109-021-00420-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41109-021-00420-4.pdf","source":{"id":"https://openalex.org/S3035517252","display_name":"Applied Network Science","issn_l":"2364-8228","issn":["2364-8228"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Network Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321519","display_name":"Centre National d\u2019Etudes Spatiales","ror":"https://ror.org/04h1h0y33"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3211544706.pdf","grobid_xml":"https://content.openalex.org/works/W3211544706.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1485268022","https://openalex.org/W1533861849","https://openalex.org/W1536929369","https://openalex.org/W1538131130","https://openalex.org/W2050330432","https://openalex.org/W2064675550","https://openalex.org/W2126430683","https://openalex.org/W2145094598","https://openalex.org/W2154851992","https://openalex.org/W2187089797","https://openalex.org/W2226503814","https://openalex.org/W2484215240","https://openalex.org/W2519887557","https://openalex.org/W2526308840","https://openalex.org/W2554952599","https://openalex.org/W2558748708","https://openalex.org/W2624431344","https://openalex.org/W2626778328","https://openalex.org/W2797105966","https://openalex.org/W2801116648","https://openalex.org/W2804057010","https://openalex.org/W2905224888","https://openalex.org/W2907492528","https://openalex.org/W2911338805","https://openalex.org/W2919115771","https://openalex.org/W2947983671","https://openalex.org/W2952254971","https://openalex.org/W2962711740","https://openalex.org/W2962756421","https://openalex.org/W2963037478","https://openalex.org/W2963127791","https://openalex.org/W2963858333","https://openalex.org/W2964121744","https://openalex.org/W2969212296","https://openalex.org/W2985199329","https://openalex.org/W2998991504","https://openalex.org/W3023628437","https://openalex.org/W3037826211","https://openalex.org/W3080555959","https://openalex.org/W3093814892","https://openalex.org/W3103659988","https://openalex.org/W3104097132","https://openalex.org/W3144247401","https://openalex.org/W3160019056","https://openalex.org/W3168349256","https://openalex.org/W3179239052","https://openalex.org/W4210257598","https://openalex.org/W6601158201","https://openalex.org/W6601955380"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W1598955744","https://openalex.org/W4368755543","https://openalex.org/W4377142566","https://openalex.org/W2152801975","https://openalex.org/W1543023114","https://openalex.org/W3088104186","https://openalex.org/W85088162"],"abstract_inverted_index":{"Abstract":[0],"Graph":[1,65,70],"Neural":[2],"Networks":[3,67,72],"(GNNs)":[4],"are":[5,9,159,222],"powerful":[6],"tools":[7],"that":[8,184],"nowadays":[10],"reaching":[11],"state":[12],"of":[13,20,57,86,92,96,124,141,198,227,230],"the":[14,196,214,228,234,243,246],"art":[15],"performances":[16],"in":[17,35,115,201,236,245],"a":[18,83,106],"plethora":[19],"different":[21,175,179],"tasks":[22],"such":[23,45,63,102],"as":[24,46,64],"node":[25],"classification,":[26],"link":[27],"prediction":[28],"and":[29,69,112,121,126,128,143,147,177,188,192,209],"graph":[30],"classification.":[31],"A":[32],"challenging":[33],"aspect":[34],"this":[36,97],"context":[37],"is":[38,99],"to":[39,100,195,207,224,238],"redefine":[40],"basic":[41],"deep":[42],"learning":[43,111],"operations,":[44],"convolution,":[47],"on":[48,75,80,161,166],"graph-like":[49],"structures,":[50],"where":[51],"nodes":[52,244],"generally":[53],"have":[54],"unordered":[55],"neighborhoods":[56],"varying":[58],"size.":[59],"State-of-the-art":[60],"GNN":[61,107],"approaches":[62,103,158],"Convolutional":[66],"(GCNs)":[68],"Attention":[71],"(GATs)":[73],"work":[74,98],"monoplex":[76],"networks":[77,81,117],"only,":[78],"i.e.,":[79],"modeling":[82],"single":[84],"type":[85],"relation":[87],"among":[88],"an":[89,162],"homogeneous":[90],"set":[91],"nodes.":[93,132],"The":[94,156],"aim":[95],"generalize":[101],"by":[104],"proposing":[105],"framework":[108,136],"for":[109,151,233],"representation":[110],"semi-supervised":[113],"classification":[114,164,200],"multilayer":[116,154,202],"with":[118,137,178],"attributed":[119,153,203],"entities,":[120,235],"arbitrary":[122,239],"number":[123],"layers":[125],"intra-layer":[127],"inter-layer":[129,240],"connections":[130,241],"between":[131,242],"We":[133],"instantiate":[134],"our":[135,186,220],"two":[138],"new":[139],"formulations":[140],"GAT":[142],"GCN":[144],"models,":[145],"namely":[146],",":[148],"specifically":[149],"devised":[150],"general,":[152],"networks.":[155],"proposed":[157,187],"evaluated":[160],"entity":[163,199],"task":[165],"nine":[167],"widely":[168],"used":[169],"real-world":[170],"network":[171],"datasets":[172],"coming":[173],"from":[174],"domains":[176],"structural":[180],"characteristics.":[181],"Results":[182],"show":[183,218],"both":[185],"methods":[189,221],"provide":[190],"effective":[191],"efficient":[193],"solutions":[194],"problem":[197],"networks,":[204],"being":[205],"faster":[206],"learn":[208],"offering":[210],"better":[211],"accuracy":[212],"than":[213],"competitors.":[215],"Furthermore,":[216],"results":[217],"how":[219],"able":[223],"take":[225],"advantage":[226],"presence":[229],"real":[231],"attributes":[232],"addition":[237],"various":[247],"layers.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
