{"id":"https://openalex.org/W4386918876","doi":"https://doi.org/10.1109/tetc.2023.3315954","title":"Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks","display_name":"Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks","publication_year":2023,"publication_date":"2023-09-21","ids":{"openalex":"https://openalex.org/W4386918876","doi":"https://doi.org/10.1109/tetc.2023.3315954"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2023.3315954","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tetc.2023.3315954","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","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/A5088238528","display_name":"Daniele Pretolesi","orcid":"https://orcid.org/0000-0001-9075-0187"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Daniele Pretolesi","raw_affiliation_strings":["Austrian Institute of Technology, Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0001-9075-0187","affiliations":[{"raw_affiliation_string":"Austrian Institute of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070327643","display_name":"Davide Garbarino","orcid":"https://orcid.org/0000-0001-9818-5864"},"institutions":[{"id":"https://openalex.org/I4210157111","display_name":"Camelot Biomedical Systems (Italy)","ror":"https://ror.org/04pjbp005","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210157111"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Garbarino","raw_affiliation_strings":["Camelot Biomedical Systems s.r.l., Genoa, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9818-5864","affiliations":[{"raw_affiliation_string":"Camelot Biomedical Systems s.r.l., Genoa, Italy","institution_ids":["https://openalex.org/I4210157111"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114858721","display_name":"Daniele Giampaoli","orcid":"https://orcid.org/0000-0003-4648-8219"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Giampaoli","raw_affiliation_strings":["DIBRIS, University of Genoa, Genoa, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4648-8219","affiliations":[{"raw_affiliation_string":"DIBRIS, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004981059","display_name":"Andrea Vian","orcid":"https://orcid.org/0000-0003-0629-0427"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Vian","raw_affiliation_strings":["dAD, University of Genoa, Genoa, Italy"],"raw_orcid":"https://orcid.org/0000-0003-0629-0427","affiliations":[{"raw_affiliation_string":"dAD, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003964675","display_name":"Annalisa Barla","orcid":"https://orcid.org/0000-0002-3436-035X"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Annalisa Barla","raw_affiliation_strings":["DIBRIS, MaLGa, University of Genoa, Genoa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3436-035X","affiliations":[{"raw_affiliation_string":"DIBRIS, MaLGa, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5614,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68313594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":"3","first_page":"840","last_page":"851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9922000169754028,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9922000169754028,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9848999977111816,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9814000129699707,"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/computer-science","display_name":"Computer science","score":0.7077083587646484},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.572905957698822},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.479739785194397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4735918343067169},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3720376491546631},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.11558026075363159}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077083587646484},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.572905957698822},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.479739785194397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4735918343067169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720376491546631},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.11558026075363159},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tetc.2023.3315954","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tetc.2023.3315954","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-article"},{"id":"pmh:oai:iris.unige.it:11567/1164376","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1164376","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unige.it:11567/1261437","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1261437","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"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":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W182831726","https://openalex.org/W1221429143","https://openalex.org/W1614298861","https://openalex.org/W1852422273","https://openalex.org/W1975563293","https://openalex.org/W1994389483","https://openalex.org/W2064418625","https://openalex.org/W2087742892","https://openalex.org/W2133286915","https://openalex.org/W2154851992","https://openalex.org/W2566811487","https://openalex.org/W2604314403","https://openalex.org/W2606952622","https://openalex.org/W2743104969","https://openalex.org/W2793071066","https://openalex.org/W2887062715","https://openalex.org/W2896457183","https://openalex.org/W2899457523","https://openalex.org/W2907492528","https://openalex.org/W2911286998","https://openalex.org/W2915623326","https://openalex.org/W2952205826","https://openalex.org/W2962756421","https://openalex.org/W2973226110","https://openalex.org/W2985875790","https://openalex.org/W3010336026","https://openalex.org/W3012871709","https://openalex.org/W3087493750","https://openalex.org/W3101707147","https://openalex.org/W3104097132","https://openalex.org/W3106224367","https://openalex.org/W3106777270","https://openalex.org/W3137323195","https://openalex.org/W3163923293","https://openalex.org/W3164473340","https://openalex.org/W3210619801","https://openalex.org/W3213455364","https://openalex.org/W4205659634","https://openalex.org/W4235571646","https://openalex.org/W4285219308","https://openalex.org/W4288083766","https://openalex.org/W4312129879","https://openalex.org/W4313545078","https://openalex.org/W4385637124","https://openalex.org/W6636510571","https://openalex.org/W6638931011","https://openalex.org/W6736685754","https://openalex.org/W6753984684","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"This":[0],"paper":[1],"examines":[2],"how":[3,18,89],"geometric":[4,132],"deep":[5,133],"learning":[6,134],"techniques":[7],"may":[8],"be":[9,94],"employed":[10],"to":[11,38,96,122,140,153],"analyze":[12,39],"academic":[13],"collaboration":[14,41],"networks":[15],"(ACNs)":[16],"and":[17,64,82,135,161],"using":[19,131],"textual":[20],"information":[21],"drawn":[22],"from":[23],"publications":[24],"improves":[25],"the":[26,30,40,44,55,60,69,90,105,111,128,143,149,155,159,167,173],"overall":[27],"performance":[28],"of":[29,43,104,146,158,164],"system.":[31,175],"The":[32],"proposed":[33],"experimental":[34],"pipeline":[35],"was":[36],"used":[37,95],"network":[42],"Machine":[45],"Learning":[46],"Genoa":[47],"Center":[48],"(MaLGa)":[49],"research":[50,83],"group.":[51],"First,":[52],"we":[53,87,151],"find":[54],"optimal":[56,102],"method":[57],"for":[58,68,79,101,130,172],"embedding":[59],"input":[61,171],"data":[62,160],"graph":[63,168],"extracting":[65],"meaningful":[66],"keywords":[67],"available":[70],"publications.":[71],"We":[72],"then":[73],"use":[74],"Graph":[75],"Neural":[76],"Networks":[77],"(GNN)":[78],"node":[80],"type":[81],"topic":[84],"classification.":[85],"Finally,":[86],"explore":[88],"resulting":[91],"corpus":[92],"can":[93],"create":[97],"a":[98],"recommender":[99,113,174],"system":[100,114],"navigation":[103,162],"ACN.":[106],"Our":[107],"results":[108],"show":[109],"that":[110],"GNN-based":[112],"achieved":[115],"high":[116],"accuracy":[117],"in":[118],"suggesting":[119],"unexplored":[120],"nodes":[121],"users.":[123],"Overall,":[124],"this":[125],"study":[126],"demonstrates":[127],"potential":[129],"Natural":[136],"Language":[137],"Processing":[138],"(NLP)":[139],"best":[141],"represent":[142],"scientific":[144],"production":[145],"ACNs.":[147],"In":[148],"future,":[150],"plan":[152],"incorporate":[154],"temporal":[156],"nature":[157],"statistics":[163],"users":[165],"exploring":[166],"as":[169],"additional":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}