{"id":"https://openalex.org/W4389154956","doi":"https://doi.org/10.1145/3630049","title":"Proceedings of the 2nd on Graph Neural Networking Workshop 2023","display_name":"Proceedings of the 2nd on Graph Neural Networking Workshop 2023","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389154956","doi":"https://doi.org/10.1145/3630049"},"language":"en","primary_location":{"id":"doi:10.1145/3630049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3630049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"type":"paratext","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":null,"display_name":"Barlet-Ros, P.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barlet-Ros, P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Casas, P.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Casas, P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Scarselli, F.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Scarselli, F.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Suarez-Varela, J.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suarez-Varela, J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Cabellos, A.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cabellos, A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9961000084877014,"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":0.9961000084877014,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9882000088691711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7581768035888672},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5653109550476074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5195165872573853},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5134087800979614},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.4614258110523224},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4463636875152588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4182599186897278},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40100017189979553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3687412738800049}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7581768035888672},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5653109550476074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5195165872573853},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5134087800979614},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.4614258110523224},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4463636875152588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4182599186897278},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40100017189979553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3687412738800049},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3630049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3630049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},{"id":"pmh:oai:usiena-air.unisi.it:11365/1279359","is_oa":false,"landing_page_url":"https://hdl.handle.net/11365/1279359","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"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/other"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4388675521","https://openalex.org/W2108135022","https://openalex.org/W3148810651","https://openalex.org/W2898772359","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":{"It":[0],"is":[1,66],"our":[2],"great":[3],"pleasure":[4],"to":[5,8,31,87,95,99,109,113],"welcome":[6],"you":[7],"the":[9],"Second":[10],"International":[11],"Workshop":[12],"on":[13,64],"Graph":[14,79],"Neural":[15,80],"Networking":[16],"-":[17,46,52],"GNNet":[18],"2023,":[19],"co-located":[20],"with":[21,70],"ACM":[22],"CoNEXT":[23],"2023.":[24],"Graphs":[25],"are":[26,37,53,105],"emerging":[27,68],"as":[28,48,55],"an":[29,67],"abstraction":[30],"represent":[32],"complex":[33],"data.":[34,57,93],"Computer":[35],"Networks":[36,81],"fundamentally":[38],"graphs,":[39,65],"and":[40,50,89],"many":[41],"of":[42,74],"their":[43,96],"relevant":[44],"characteristics":[45],"such":[47],"topology":[49],"routing":[51],"represented":[54],"graph-structured":[56,92],"Machine":[58],"learning,":[59],"especially":[60],"deep":[61],"representation":[62],"learning":[63],"field":[69],"a":[71,106],"wide":[72],"array":[73],"applications.":[75,115],"Within":[76],"this":[77],"field,":[78],"(GNNs)":[82],"have":[83],"been":[84],"recently":[85],"proposed":[86],"model":[88],"learn":[90],"over":[91,101],"Due":[94],"unique":[97],"ability":[98],"generalize":[100],"graph":[102],"data,":[103],"GNNs":[104],"central":[107],"tool":[108],"apply":[110],"AI/ML":[111],"techniques":[112],"networking":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}