{"id":"https://openalex.org/W6944632473","doi":"https://doi.org/10.21227/vdfg-qj56","title":"Graph dataset - LibTiff","display_name":"Graph dataset - LibTiff","publication_year":2023,"publication_date":"2023-02-28","ids":{"openalex":"https://openalex.org/W6944632473","doi":"https://doi.org/10.21227/vdfg-qj56"},"language":"en","primary_location":{"id":"doi:10.21227/vdfg-qj56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/vdfg-qj56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/vdfg-qj56","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zamani, Mahmoud","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]},{"id":"https://openalex.org/I87573096","display_name":"University of North Texas at Dallas","ror":"https://ror.org/01n51v443","country_code":"US","type":"education","lineage":["https://openalex.org/I87573096"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zamani, Mahmoud","raw_affiliation_strings":["The University of texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of texas at Dallas","institution_ids":["https://openalex.org/I162577319","https://openalex.org/I87573096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162577319","https://openalex.org/I87573096"],"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":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5774000287055969},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5364999771118164},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.46470001339912415},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.42899999022483826},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.375900000333786},{"id":"https://openalex.org/keywords/call-graph","display_name":"Call graph","score":0.37459999322891235},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.366100013256073},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.35530000925064087},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.35120001435279846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580000162124634},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5774000287055969},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5364999771118164},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.46470001339912415},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4361000061035156},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.42899999022483826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38440001010894775},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C102379954","wikidata":"https://www.wikidata.org/wiki/Q2589940","display_name":"Call graph","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.366100013256073},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.35120001435279846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3499999940395355},{"id":"https://openalex.org/C137287247","wikidata":"https://www.wikidata.org/wiki/Q1329550","display_name":"Static program analysis","level":4,"score":0.34950000047683716},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3239000141620636},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C2777561058","wikidata":"https://www.wikidata.org/wiki/Q2652119","display_name":"Program comprehension","level":4,"score":0.2847999930381775},{"id":"https://openalex.org/C27458966","wikidata":"https://www.wikidata.org/wiki/Q1187693","display_name":"Control flow graph","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27410000562667847},{"id":"https://openalex.org/C133237599","wikidata":"https://www.wikidata.org/wiki/Q2295111","display_name":"Code smell","level":5,"score":0.2734000086784363},{"id":"https://openalex.org/C98183937","wikidata":"https://www.wikidata.org/wiki/Q2112188","display_name":"Program analysis","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.2547000050544739},{"id":"https://openalex.org/C117447612","wikidata":"https://www.wikidata.org/wiki/Q1412670","display_name":"Software quality","level":4,"score":0.25459998846054077},{"id":"https://openalex.org/C62913178","wikidata":"https://www.wikidata.org/wiki/Q7554361","display_name":"Software security assurance","level":4,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/vdfg-qj56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/vdfg-qj56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.21227/vdfg-qj56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/vdfg-qj56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"comparative,":[1],"empirical":[2],"study":[3,163,177],"of":[4,61,168,172,188],"state-of-the-art":[5],"contrastive":[6],"and":[7,15,56,59,98,121,138,154,190],"generative":[8],"graph":[9,128,155],"learning":[10],"models":[11,42,184],"applied":[12,146],"to":[13,89,125,147,150,164,181],"source":[14,95],"binary":[16,139],"software":[17,62,76],"fragments":[18,113],"drawn":[19],"from":[20,114],"the":[21,44,52,71,101,173,179],"National":[22],"Vulnerability":[23],"Database":[24],"(NVD)":[25],"reveals":[26],"that":[27,204],"Graph":[28,81],"Masked":[29],"Auto-Encoders":[30],"show":[31],"exceptional":[32],"promise":[33],"for":[34,79,197],"detecting":[35],"security":[36,63,119],"vulnerabilities,":[37,64],"outperforming":[38],"all":[39],"other":[40],"baseline":[41],"in":[43,51,74],"study.":[45],"This":[46],"fills":[47],"a":[48,103,186],"key":[49],"gap":[50],"literature":[53],"on":[54,134,185],"automated":[55],"machine-assisted":[57],"discovery":[58],"patching":[60],"which":[65,80,152,166,194],"has":[66],"become":[67],"increasingly":[68],"critical":[69],"with":[70,117],"dramatic":[72],"increase":[73],"modern":[75],"complexity,":[77],"but":[78],"Neural":[82],"Network":[83],"(GNN)":[84],"approaches":[85],"are":[86],"understudied":[87],"relative":[88],"traditional":[90],"processes,":[91],"such":[92],"as":[93],"manual":[94],"code":[96,112,135,192],"auditing":[97],"fuzzing.To":[99],"conduct":[100],"study,":[102],"novel":[104],"dataset":[105,144],"is":[106,145,178,195],"first":[107,180],"collected":[108],"by":[109,160],"extracting":[110],"vulnerable":[111],"six":[115],"applications":[116],"NVD-documented":[118],"flaws":[120],"converting":[122],"these":[123],"codes":[124],"five":[126],"different":[127],"types":[129],"using":[130],"specialized":[131],"tools":[132],"based":[133],"property":[136],"graphs":[137],"semantics":[140],"lifting.":[141],"The":[142,176],"resulting":[143],"GNN-based":[148],"analyses":[149],"determine":[151,165],"algorithm":[153],"type":[156],"performs":[157],"best,":[158],"followed":[159],"an":[161],"ablation":[162],"combination":[167,187],"parameters":[169],"maximizes":[170],"effectiveness":[171],"top-performing":[174],"detector.":[175],"train":[182],"GNN":[183],"source-":[189],"binary-level":[191,207],"features,":[193],"important":[196],"helping":[198],"cyber":[199],"defenders":[200],"craft":[201],"source-level":[202],"patches":[203],"defend":[205],"against":[206],"attacks.":[208]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
