{"id":"https://openalex.org/W2062140606","doi":"https://doi.org/10.1145/2588555.2610518","title":"Navigating the maze of graph analytics frameworks using massive graph datasets","display_name":"Navigating the maze of graph analytics frameworks using massive graph datasets","publication_year":2014,"publication_date":"2014-06-18","ids":{"openalex":"https://openalex.org/W2062140606","doi":"https://doi.org/10.1145/2588555.2610518","mag":"2062140606"},"language":"en","primary_location":{"id":"doi:10.1145/2588555.2610518","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2588555.2610518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","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/A5111985072","display_name":"Nadathur Satish","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nadathur Satish","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110744540","display_name":"Narayanan Sundaram","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narayanan Sundaram","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041039212","display_name":"Md. Mostofa Ali Patwary","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Mostofa Ali Patwary","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657256","display_name":"Jiwon Seo","orcid":"https://orcid.org/0000-0003-1781-533X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]},{"id":"https://openalex.org/I1743320","display_name":"Palo Alto University","ror":"https://ror.org/04f812k67","country_code":"US","type":"education","lineage":["https://openalex.org/I1743320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiwon Seo","raw_affiliation_strings":["Stanford University, Palo Alto, CA, USA","Stanford University, Palo Alto, CA USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1743320","https://openalex.org/I97018004"]},{"raw_affiliation_string":"Stanford University, Palo Alto, CA USA","institution_ids":["https://openalex.org/I1743320","https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101876582","display_name":"Jongsoo Park","orcid":"https://orcid.org/0000-0002-4750-9440"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jongsoo Park","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077592612","display_name":"M. Amber Hassaan","orcid":"https://orcid.org/0000-0001-8644-0450"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Amber Hassaan","raw_affiliation_strings":["University of Texas at Austin, Austin, TX, USA","University of Texas at Austin, Austin, TX USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin, Austin, TX USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003509810","display_name":"Shubho Sengupta","orcid":"https://orcid.org/0009-0005-0818-0979"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shubho Sengupta","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035831616","display_name":"Zhaoming Yin","orcid":"https://orcid.org/0000-0002-9829-5382"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaoming Yin","raw_affiliation_strings":["Georgia Tech, Atlanta, GA, USA","Georgia Tech, Atlanta, GA., USA"],"affiliations":[{"raw_affiliation_string":"Georgia Tech, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Tech, Atlanta, GA., USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032238070","display_name":"Pradeep Dubey","orcid":"https://orcid.org/0000-0001-5853-0619"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pradeep Dubey","raw_affiliation_strings":["Intel Labs, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5111985072"],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":23.7248,"has_fulltext":false,"cited_by_count":182,"citation_normalized_percentile":{"value":0.99682616,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"979","last_page":"990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9951000213623047,"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":0.8434774875640869},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6649717688560486},{"id":"https://openalex.org/keywords/call-graph","display_name":"Call graph","score":0.6449980735778809},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5906014442443848},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5892926454544067},{"id":"https://openalex.org/keywords/graph-traversal","display_name":"Graph traversal","score":0.5544996857643127},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.5435488224029541},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5292961597442627},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5272060036659241},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.44366490840911865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37295985221862793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2817115783691406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27390390634536743},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17483243346214294},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09152591228485107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8434774875640869},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6649717688560486},{"id":"https://openalex.org/C102379954","wikidata":"https://www.wikidata.org/wiki/Q2589940","display_name":"Call graph","level":2,"score":0.6449980735778809},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5906014442443848},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5892926454544067},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.5544996857643127},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.5435488224029541},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5292961597442627},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5272060036659241},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.44366490840911865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37295985221862793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2817115783691406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27390390634536743},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17483243346214294},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09152591228485107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2588555.2610518","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2588555.2610518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/35588","is_oa":false,"landing_page_url":"https://scholarworks.unist.ac.kr/handle/201301/35588","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W144096106","https://openalex.org/W1476041289","https://openalex.org/W1557692423","https://openalex.org/W1969970763","https://openalex.org/W1980147176","https://openalex.org/W1982003698","https://openalex.org/W1992810975","https://openalex.org/W2006007301","https://openalex.org/W2034102265","https://openalex.org/W2035080386","https://openalex.org/W2047443612","https://openalex.org/W2054141820","https://openalex.org/W2056116767","https://openalex.org/W2073074467","https://openalex.org/W2097572763","https://openalex.org/W2098903349","https://openalex.org/W2101196063","https://openalex.org/W2109343271","https://openalex.org/W2112811019","https://openalex.org/W2127063935","https://openalex.org/W2141380216","https://openalex.org/W2162621793","https://openalex.org/W2189465200","https://openalex.org/W2198867094","https://openalex.org/W2341535507","https://openalex.org/W2496905873","https://openalex.org/W3099706321","https://openalex.org/W4232836277","https://openalex.org/W4285719527","https://openalex.org/W6600944653","https://openalex.org/W6687322159","https://openalex.org/W6703949738"],"related_works":["https://openalex.org/W2200188075","https://openalex.org/W4230405657","https://openalex.org/W4254594467","https://openalex.org/W4252596799","https://openalex.org/W244044452","https://openalex.org/W2552915643","https://openalex.org/W170547082","https://openalex.org/W3213135344","https://openalex.org/W3183956626","https://openalex.org/W2102217676"],"abstract_inverted_index":{"Graph":[0],"algorithms":[1,39,209],"are":[2,232],"becoming":[3],"increasingly":[4],"important":[5],"for":[6,98,105,107,144,176],"analyzing":[7,221],"large":[8,96],"datasets":[9],"in":[10,43],"many":[11],"fields.":[12],"Real-world":[13],"graph":[14,33,54,109,123,178,193],"data":[15,42],"follows":[16],"a":[17,29,44,51,70,141,196],"pattern":[18],"of":[19,91,122,130,148,184,198,225,247,271],"sparsity,":[20],"that":[21,162,231],"is":[22,47,94],"not":[23,126],"uniform":[24],"but":[25,132],"highly":[26],"skewed":[27],"towards":[28],"few":[30],"items.":[31],"Implementing":[32],"traversal,":[34],"statistics":[35],"and":[36,61,76,89,101,111,152,169,249],"machine":[37],"learning":[38],"on":[40,128,134,195,269],"such":[41],"scalable":[45],"manner":[46],"quite":[48],"challenging.":[49],"As":[50],"result,":[52],"several":[53],"analytics":[55],"frameworks":[56,93,100,151,194,266],"(GraphLab,":[57],"CombBLAS,":[58],"Giraph,":[59],"SociaLite":[60],"Galois":[62],"among":[63],"others)":[64],"have":[65],"been":[66],"developed,":[67],"each":[68],"offering":[69],"solution":[71],"with":[72,115,254],"different":[73,79],"programming":[74,212],"models":[75],"targeted":[77],"at":[78],"users.":[80],"Unfortunately,":[81],"the":[82,119,146,154,182,208,216,222,251],"\"Ninja":[83],"performance":[84,147,164,174,183,252],"gap\"":[85],"between":[86],"optimized":[87],"code":[88],"most":[90,99],"these":[92,150,177,226,242],"very":[95],"(2-30X":[97],"up":[102],"to":[103,166,234,240,256,264],"560X":[104],"Giraph)":[106],"common":[108],"algorithms,":[110],"moreover":[112],"varies":[113],"widely":[114],"algorithms.":[116,179,199,236],"This":[117,200],"makes":[118],"end-users'":[120],"choice":[121],"framework":[124,217],"dependent":[125],"only":[127],"ease":[129,270],"use":[131],"also":[133],"performance.":[135],"In":[136],"this":[137,186],"work,":[138],"we":[139,228],"offer":[140],"quantitative":[142],"roadmap":[143],"improving":[145],"all":[149],"bridging":[153],"\"ninja":[155],"gap\".":[156],"We":[157,180,237],"first":[158],"present":[159],"hand-optimized":[160],"baselines":[161],"get":[163],"close":[165],"hardware":[167],"limits":[168],"higher":[170],"than":[171],"any":[172],"published":[173],"figure":[175],"characterize":[181],"both":[185],"native":[187,257],"implementation":[188],"as":[189,191],"well":[190],"popular":[192],"variety":[197],"study":[201],"helps":[202],"end-users":[203,263],"delineate":[204],"bottlenecks":[205,230,243],"arising":[206],"from":[207],"themselves":[210],"vs.":[211,215],"model":[213],"abstractions":[214],"implementations.":[218],"Further,":[219],"by":[220],"system-level":[223],"behavior":[224],"frameworks,":[227],"obtain":[229],"agnostic":[233],"specific":[235],"recommend":[238],"changes":[239,260],"alleviate":[241],"(and":[244],"implement":[245],"some":[246],"them)":[248],"reduce":[250],"gap":[253],"respect":[255],"code.":[258],"These":[259],"will":[261],"enable":[262],"choose":[265],"based":[267],"mostly":[268],"use.":[272]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":26},{"year":2016,"cited_by_count":37},{"year":2015,"cited_by_count":31},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
