{"id":"https://openalex.org/W4400224468","doi":"https://doi.org/10.1145/3649153.3649206","title":"G2A2: Graph Generator with Attributes and Anomalies","display_name":"G2A2: Graph Generator with Attributes and Anomalies","publication_year":2024,"publication_date":"2024-05-07","ids":{"openalex":"https://openalex.org/W4400224468","doi":"https://doi.org/10.1145/3649153.3649206"},"language":"en","primary_location":{"id":"doi:10.1145/3649153.3649206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649153.3649206","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3649153.3649206","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099870923","display_name":"Saikat Dey","orcid":"https://orcid.org/0009-0006-3379-1904"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Saikat Dey","raw_affiliation_strings":["Virginia Tech, Blacksburg, Virginia, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066896564","display_name":"Sonal Jha","orcid":"https://orcid.org/0000-0002-2793-5792"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sonal Jha","raw_affiliation_strings":["Virginia Tech, Blacksburg, Virginia, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058539554","display_name":"Wu-chun Feng","orcid":"https://orcid.org/0000-0002-6015-0727"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wu-chun Feng","raw_affiliation_strings":["Virginia Tech, Blacksburg, Virginia, USA"],"affiliations":[{"raw_affiliation_string":"Virginia Tech, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5099870923"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.2596,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50361125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9955999851226807,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9955999851226807,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9825999736785889,"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":0.9751999974250793,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765356063842773},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6177374124526978},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4797733724117279},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.283674031496048},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08979570865631104},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07167544960975647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765356063842773},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6177374124526978},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4797733724117279},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.283674031496048},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08979570865631104},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07167544960975647},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3649153.3649206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649153.3649206","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/120878","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/120878","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/caebfea7-4b8f-4036-9797-8bdfa9343796/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3649153.3649206","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3649153.3649206","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1496710472","https://openalex.org/W1562536132","https://openalex.org/W1761701990","https://openalex.org/W2015326995","https://openalex.org/W2028225313","https://openalex.org/W2111708605","https://openalex.org/W2112090702","https://openalex.org/W2122646361","https://openalex.org/W2187089797","https://openalex.org/W2469279958","https://openalex.org/W2498872126","https://openalex.org/W2744808284","https://openalex.org/W2747329762","https://openalex.org/W2808771744","https://openalex.org/W2913954081","https://openalex.org/W2944250323","https://openalex.org/W2951086007","https://openalex.org/W2962756421","https://openalex.org/W2965683718","https://openalex.org/W3080902222","https://openalex.org/W3092651881","https://openalex.org/W3128567082","https://openalex.org/W3206604724","https://openalex.org/W4205329374","https://openalex.org/W4214651586","https://openalex.org/W4306733841","https://openalex.org/W4312512934","https://openalex.org/W6688325169"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Many":[0],"data-mining":[1],"applications":[2],"use":[3],"dynamic":[4,31,86],"attributed":[5,32,87],"graphs":[6,61,97],"to":[7,13,79],"represent":[8],"relational":[9],"information;":[10],"but":[11],"due":[12],"security":[14],"and":[15],"privacy":[16],"concerns,":[17],"there":[18],"is":[19],"a":[20,93],"dearth":[21],"of":[22,96],"publicly":[23],"available":[24],"datasets":[25,37],"that":[26,46],"can":[27,47],"be":[28,48],"represented":[29],"as":[30],"graphs.":[33],"Even":[34],"when":[35],"such":[36],"are":[38],"available,":[39],"they":[40],"do":[41],"not":[42],"have":[43],"ground":[44,74],"truth":[45],"useful":[49],"for":[50,98],"classification":[51],"problems,":[52],"e.g.,":[53],"anomaly":[54],"detection.":[55],"Thus,":[56],"researchers":[57],"commonly":[58],"generate":[59],"synthetic":[60],"using":[62],"either":[63],"statistical":[64],"or":[65],"deep":[66],"generative":[67],"(DG)":[68],"methods.":[69],"However,":[70],"neither":[71],"approach":[72],"produces":[73],"truth.":[75],"Statistical":[76],"methods":[77,91],"struggle":[78],"replicate":[80],"intricate":[81],"patterns":[82],"found":[83],"in":[84],"real-world":[85],"graphs,":[88],"while":[89],"DG":[90],"require":[92],"significant":[94],"number":[95],"training.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}