{"id":"https://openalex.org/W4409131829","doi":"https://doi.org/10.1109/hpec62836.2024.10938454","title":"VF2-PS: Parallel and Scalable Subgraph Monomorphism in Arachne","display_name":"VF2-PS: Parallel and Scalable Subgraph Monomorphism in Arachne","publication_year":2024,"publication_date":"2024-09-23","ids":{"openalex":"https://openalex.org/W4409131829","doi":"https://doi.org/10.1109/hpec62836.2024.10938454"},"language":"en","primary_location":{"id":"doi:10.1109/hpec62836.2024.10938454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec62836.2024.10938454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5012058924","display_name":"Mohammad Dindoost","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Dindoost","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070173078","display_name":"Oliver Alvarado Rodriguez","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oliver Alvarado Rodriguez","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sounak Bagchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sounak Bagchi","raw_affiliation_strings":["Edison Academy Magnet School,Edison,NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edison Academy Magnet School,Edison,NJ","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094087153","display_name":"Palina Pauliuchenka","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Palina Pauliuchenka","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101716102","display_name":"Zhihui Du","orcid":"https://orcid.org/0000-0003-4856-1563"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhihui Du","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076610730","display_name":"David A. Bader","orcid":"https://orcid.org/0000-0002-7380-5876"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David A. Bader","raw_affiliation_strings":["New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology,Department of Data Science,Newark,NJ,USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5322,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64824061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9532999992370605,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9430000185966492,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/monomorphism","display_name":"Monomorphism","score":0.8331943154335022},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7310310006141663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5044955015182495},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.32580310106277466},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14543351531028748},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06044524908065796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05933132767677307}],"concepts":[{"id":"https://openalex.org/C100036529","wikidata":"https://www.wikidata.org/wiki/Q1945067","display_name":"Monomorphism","level":3,"score":0.8331943154335022},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7310310006141663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5044955015182495},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.32580310106277466},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14543351531028748},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06044524908065796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05933132767677307},{"id":"https://openalex.org/C128107574","wikidata":"https://www.wikidata.org/wiki/Q182003","display_name":"Injective function","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec62836.2024.10938454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec62836.2024.10938454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W206027754","https://openalex.org/W772516776","https://openalex.org/W993733874","https://openalex.org/W1217907795","https://openalex.org/W1976430844","https://openalex.org/W1976466396","https://openalex.org/W2004249506","https://openalex.org/W2022739485","https://openalex.org/W2033579242","https://openalex.org/W2037016941","https://openalex.org/W2090409324","https://openalex.org/W2109294083","https://openalex.org/W2112090702","https://openalex.org/W2118212234","https://openalex.org/W2124637492","https://openalex.org/W2126359798","https://openalex.org/W2139343285","https://openalex.org/W2140840007","https://openalex.org/W2147405597","https://openalex.org/W2152475379","https://openalex.org/W2153624566","https://openalex.org/W2160938187","https://openalex.org/W2241555812","https://openalex.org/W2254833717","https://openalex.org/W2256863758","https://openalex.org/W2518858713","https://openalex.org/W2608355501","https://openalex.org/W2612186437","https://openalex.org/W2795196889","https://openalex.org/W2886575626","https://openalex.org/W2898087046","https://openalex.org/W2937947223","https://openalex.org/W2948437140","https://openalex.org/W2948742909","https://openalex.org/W2954731284","https://openalex.org/W2973738211","https://openalex.org/W3029446523","https://openalex.org/W3030126027","https://openalex.org/W3045950232","https://openalex.org/W3174465650","https://openalex.org/W3184260604","https://openalex.org/W4295605475","https://openalex.org/W4312246606","https://openalex.org/W4313142772","https://openalex.org/W4367147584","https://openalex.org/W4381328644","https://openalex.org/W4390189094","https://openalex.org/W4393973321","https://openalex.org/W6653276297","https://openalex.org/W6659573362","https://openalex.org/W6681336546","https://openalex.org/W6717699545","https://openalex.org/W6763317507","https://openalex.org/W6785582754","https://openalex.org/W6847388455","https://openalex.org/W7055686756"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2963909210","https://openalex.org/W1592193675","https://openalex.org/W2092684517","https://openalex.org/W2953362199","https://openalex.org/W2061114238","https://openalex.org/W2089269623","https://openalex.org/W2357235461"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,144],"novel,":[4],"parallel,":[5],"and":[6,27,51,80,86,106,121,139,160],"scalable":[7],"implementation":[8,72,122],"of":[9,67,91,152],"the":[10,18,63,125,150],"VF2":[11],"algorithm":[12,120],"for":[13,147],"subgraph":[14,49,148],"monomorphism":[15],"developed":[16],"in":[17,25,48],"high-productivity":[19],"language":[20],"Chapel.":[21],"Efficient":[22],"graph":[23,59,154],"analysis":[24,60],"large":[26,114],"complex":[28],"network":[29],"datasets":[30],"is":[31],"crucial":[32],"across":[33],"numerous":[34,153],"scientific":[35],"domains.":[36],"We":[37],"address":[38],"this":[39],"need":[40],"through":[41],"our":[42,71,116,164],"enhanced":[43],"VF2-PS":[44,119,165],"implementation,":[45,166],"widely":[46],"utilized":[47],"matching,":[50],"integrating":[52],"it":[53,142],"into":[54],"Arachne-a":[55],"Python-accessible,":[56],"open-source,":[57],"large-scale":[58,135],"framework.":[61],"Leveraging":[62],"parallel":[64,118,129],"computing":[65],"capabilities":[66],"modern":[68],"hardware":[69],"architectures,":[70],"achieves":[73],"significant":[74],"performance":[75],"improvements.":[76],"Benchmarks":[77],"on":[78,96,134,170],"synthetic":[79],"real-world":[81],"datasets,":[82],"including":[83,163],"social,":[84],"communication,":[85],"neuroscience":[87],"networks,":[88],"demonstrate":[89,137],"speedups":[90],"up":[92],"to":[93,100],"97.0":[94],"X":[95],"128":[97],"cores,":[98],"compared":[99],"existing":[101],"Python-based":[102],"tools":[103],"like":[104],"NetworkX":[105],"DotMotif,":[107],"which":[108],"do":[109],"not":[110],"exploit":[111],"parallelization.":[112],"On":[113],"graphs,":[115],"new":[117],"also":[123],"outperforms":[124],"Carletti":[126],"et":[127],"al.'s":[128],"VF3P":[130],"implementation.":[131],"Our":[132],"results":[133],"graphs":[136],"scalability":[138],"efficiency,":[140],"establishing":[141],"as":[143,157],"viable":[145],"tool":[146],"monomorphism,":[149],"backbone":[151],"analytics":[155],"such":[156],"motif":[158],"counting":[159],"enumeration.":[161],"Arachne,":[162],"can":[167],"be":[168],"found":[169],"GitHub:":[171],"https://github.com/Bears-R-Us/arkouda-njit.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
