{"id":"https://openalex.org/W4229030202","doi":"https://doi.org/10.1145/3476883.3520227","title":"Code authorship identification via deep graph CNNs","display_name":"Code authorship identification via deep graph CNNs","publication_year":2022,"publication_date":"2022-04-18","ids":{"openalex":"https://openalex.org/W4229030202","doi":"https://doi.org/10.1145/3476883.3520227"},"language":"en","primary_location":{"id":"doi:10.1145/3476883.3520227","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3476883.3520227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Southeast Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006498014","display_name":"Chandler Holland","orcid":null},"institutions":[{"id":"https://openalex.org/I32480017","display_name":"Florida Polytechnic University","ror":"https://ror.org/01e5mdj42","country_code":"US","type":"education","lineage":["https://openalex.org/I32480017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chandler Holland","raw_affiliation_strings":["Florida Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Polytechnic University","institution_ids":["https://openalex.org/I32480017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048563280","display_name":"Navid Khoshavi","orcid":"https://orcid.org/0000-0002-4010-1354"},"institutions":[{"id":"https://openalex.org/I1311921367","display_name":"Advanced Micro Devices (Canada)","ror":"https://ror.org/02yh0k313","country_code":"CA","type":"company","lineage":["https://openalex.org/I1311921367","https://openalex.org/I4210137977"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Navid Khoshavi","raw_affiliation_strings":["Advanced Micro Devices"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Micro Devices","institution_ids":["https://openalex.org/I1311921367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065825528","display_name":"Luis G. Jaimes","orcid":"https://orcid.org/0000-0003-4914-6740"},"institutions":[{"id":"https://openalex.org/I32480017","display_name":"Florida Polytechnic University","ror":"https://ror.org/01e5mdj42","country_code":"US","type":"education","lineage":["https://openalex.org/I32480017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis G. Jaimes","raw_affiliation_strings":["Florida Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Florida Polytechnic University","institution_ids":["https://openalex.org/I32480017"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61699291,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.994700014591217,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.994700014591217,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.983299970626831,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8652685284614563},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7089549899101257},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6166175603866577},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5800965428352356},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5765482187271118},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5107631683349609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5041180849075317},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.503947913646698},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4579322636127472},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4519398808479309},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45085564255714417},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.45078718662261963},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44847720861434937},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4384421110153198},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4318373501300812},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4213337302207947},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32575324177742004},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.24820056557655334},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08972465991973877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8652685284614563},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7089549899101257},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6166175603866577},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5800965428352356},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5765482187271118},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5107631683349609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5041180849075317},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.503947913646698},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4579322636127472},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4519398808479309},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45085564255714417},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.45078718662261963},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44847720861434937},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4384421110153198},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4318373501300812},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4213337302207947},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32575324177742004},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.24820056557655334},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08972465991973877},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3476883.3520227","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3476883.3520227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Southeast Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1956188504","https://openalex.org/W2891865791","https://openalex.org/W2906453189","https://openalex.org/W2962946486","https://openalex.org/W3010954493","https://openalex.org/W4210954199"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2067317451","https://openalex.org/W4211085505","https://openalex.org/W2154771632","https://openalex.org/W2084758217","https://openalex.org/W3122478268","https://openalex.org/W408804804","https://openalex.org/W2029404707","https://openalex.org/W3086365953","https://openalex.org/W2965782936"],"abstract_inverted_index":{"Code":[0,113],"authorship":[1],"identification":[2],"(CAI)":[3],"is":[4,18],"an":[5,21],"emerging":[6],"field":[7],"useful":[8],"to":[9,57,102],"identify":[10],"code":[11,25],"plagiarism,":[12],"settle":[13],"copyright":[14],"disputes,":[15],"and":[16,37,78,118,141],"it":[17],"in":[19,45,136],"general,":[20],"essential":[22],"tool":[23],"for":[24,66,92,121],"forensics.":[26],"However,":[27],"scaling":[28],"CAI":[29,46,67],"has":[30],"always":[31],"been":[32],"limited":[33],"by":[34,98],"domain":[35],"knowledge":[36],"the":[38,49,62,86],"burden":[39],"of":[40,51,64,72,76,88,111,138],"feature":[41],"engineering.":[42],"Recent":[43],"works":[44],"have":[47],"demonstrated":[48],"utility":[50],"using":[52],"Convolutional":[53],"Neural":[54],"Networks":[55],"(CNN)":[56],"avoid":[58],"this":[59,82],"problem.":[60],"Unfortunately,":[61],"use":[63,87,108],"CNNs":[65],"imposes":[68],"a":[69,109,116,119],"rigid":[70],"representation":[71],"programs,":[73],"limiting":[74],"expressions":[75],"dependency":[77],"semantic":[79],"relationships.":[80,106],"In":[81],"paper,":[83],"we":[84,130],"explore":[85],"Graph":[89],"Deep":[90],"CNN":[91],"CAI.":[93],"Here,":[94],"programs":[95,124],"are":[96],"represented":[97],"graphs":[99],"which":[100],"allow":[101],"express":[103],"their":[104],"complex":[105],"We":[107],"subset":[110],"Google":[112],"Jam":[114],"as":[115],"dataset":[117],"methodology":[120,133],"transforming":[122],"these":[123],"into":[125],"graphs.":[126],"After":[127],"extensive":[128],"simulations,":[129],"show":[131],"our":[132],"performs":[134],"well":[135],"terms":[137],"scalability,":[139],"accuracy,":[140],"loss.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
