{"id":"https://openalex.org/W4311134569","doi":"https://doi.org/10.1145/3565473.3569187","title":"Benchmarking graph neural networks for internet routing data","display_name":"Benchmarking graph neural networks for internet routing data","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4311134569","doi":"https://doi.org/10.1145/3565473.3569187"},"language":"en","primary_location":{"id":"doi:10.1145/3565473.3569187","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565473.3569187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Graph Neural Networking","raw_type":"proceedings-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/A5080472625","display_name":"Dimitrios Panteleimon Giakatos","orcid":"https://orcid.org/0000-0002-1161-576X"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios P. Giakatos","raw_affiliation_strings":["Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030573022","display_name":"S. Kostoglou","orcid":"https://orcid.org/0000-0002-7387-904X"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sofia Kostoglou","raw_affiliation_strings":["Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088492981","display_name":"Pavlos Sermpezis","orcid":"https://orcid.org/0000-0003-2129-977X"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Pavlos Sermpezis","raw_affiliation_strings":["Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002623428","display_name":"Athena Vakali","orcid":"https://orcid.org/0000-0002-0666-6984"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Athena Vakali","raw_affiliation_strings":["Aristotle University of Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1387,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56354324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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/T11478","display_name":"Caching and Content Delivery","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9807999730110168,"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":0.8454622030258179},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8146151304244995},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6184980273246765},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5287546515464783},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5257811546325684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4502998888492584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35543203353881836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33171141147613525},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24386918544769287},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13819259405136108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8454622030258179},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8146151304244995},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6184980273246765},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5287546515464783},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5257811546325684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4502998888492584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35543203353881836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33171141147613525},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24386918544769287},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13819259405136108},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565473.3569187","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565473.3569187","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Graph Neural Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2586380145","https://openalex.org/W2962756421","https://openalex.org/W2963283811","https://openalex.org/W2981280544","https://openalex.org/W2990714382","https://openalex.org/W2990923974","https://openalex.org/W3004075653","https://openalex.org/W3045406868","https://openalex.org/W3185374659","https://openalex.org/W3197636736","https://openalex.org/W3199816640","https://openalex.org/W4226219278"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"The":[0],"Internet":[1,50,72,169],"is":[2,24,28],"composed":[3],"of":[4,31,57,128,134,166],"networks,":[5],"called":[6],"Autonomous":[7],"Systems":[8],"(or,":[9],"ASes),":[10],"interconnected":[11],"to":[12,68,144],"each":[13],"other,":[14],"thus":[15],"forming":[16],"a":[17,29,55,64,85,116,126,132,153],"large":[18],"graph.":[19],"While":[20],"both":[21],"the":[22,35,40,122,164],"AS-graph":[23],"known":[25],"and":[26,76,98,159],"there":[27],"multitude":[30],"data":[32,51,73,93],"available":[33],"for":[34,118,156,163],"ASes":[36],"(i.e.,":[37],"node":[38],"attributes),":[39],"research":[41,70,158],"on":[42,49,71,121,168],"applying":[43,119],"graph":[44,77],"machine":[45],"learning":[46],"(ML)":[47],"methods":[48],"has":[52],"not":[53],"attracted":[54],"lot":[56],"attention.":[58],"In":[59],"this":[60],"work,":[61],"we":[62,83,114,130],"provide":[63,160],"benchmarking":[65,133],"framework":[66],"aiming":[67],"facilitate":[69],"using":[74],"graph-ML":[75],"neural":[78],"network":[79],"(GNN)":[80],"methods.":[81],"Specifically,":[82],"compile":[84],"dataset":[86],"with":[87],"heterogeneous":[88],"node/AS":[89],"attributes":[90],"by":[91],"collecting":[92],"from":[94],"multiple":[95],"online":[96],"sources,":[97],"preprocessing":[99],"them":[100],"so":[101],"that":[102],"they":[103],"can":[104,150],"be":[105],"easily":[106],"used":[107],"as":[108,152],"input":[109],"in":[110],"GNN":[111,136],"architectures.":[112],"Then,":[113],"create":[115],"framework/pipeline":[117],"GNNs":[120,167],"compiled":[123],"data.":[124,170],"For":[125],"set":[127],"tasks,":[129],"perform":[131],"different":[135],"models":[137],"(as":[138],"well":[139],"as,":[140],"non-GNN":[141],"ML":[142],"models)":[143],"test":[145],"their":[146],"efficiency;":[147],"our":[148],"results":[149],"serve":[151],"common":[154],"baseline":[155],"future":[157],"initial":[161],"insights":[162],"application":[165]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}