{"id":"https://openalex.org/W7127648185","doi":"https://doi.org/10.1007/978-981-95-6196-4_4","title":"An Experimental Study of\u00a0Graph Pattern Mining Systems","display_name":"An Experimental Study of\u00a0Graph Pattern Mining Systems","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7127648185","doi":"https://doi.org/10.1007/978-981-95-6196-4_4"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-95-6196-4_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-95-6196-4_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-981-95-6196-4_4","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125088095","display_name":"Yi Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yijie Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yijie Zhao","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385514","display_name":"Wenjie Zhang","orcid":"https://orcid.org/0000-0002-7753-695X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wantong Zhang","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124988608","display_name":"Zhengyi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zhengyi Yang","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002922237","display_name":"Wenke Yang","orcid":"https://orcid.org/0000-0002-6723-3998"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenke Yang","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101509225","display_name":"Dong Wen","orcid":"https://orcid.org/0000-0002-0903-1503"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dong Wen","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100659158","display_name":"Xi Wang","orcid":"https://orcid.org/0009-0002-3710-8106"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaoyang Wang","raw_affiliation_strings":["The University of New South Wales, Sydney, Australia","University of New South Wales, Sydney, NT, Australia"],"affiliations":[{"raw_affiliation_string":"The University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"University of New South Wales, Sydney, NT, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5124988608"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69117647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.7738000154495239,"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":0.7738000154495239,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.08330000191926956,"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":0.061500001698732376,"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/scalability","display_name":"Scalability","score":0.6579999923706055},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.5795999765396118},{"id":"https://openalex.org/keywords/enumeration","display_name":"Enumeration","score":0.5758000016212463},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.527400016784668},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.512499988079071},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5113000273704529},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.42910000681877136},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.3425000011920929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8219000101089478},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6579999923706055},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.5795999765396118},{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.5758000016212463},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5539000034332275},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.527400016784668},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.512499988079071},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5113000273704529},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3792000114917755},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.3425000011920929},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C203436722","wikidata":"https://www.wikidata.org/wiki/Q902950","display_name":"Isomorphism (crystallography)","level":3,"score":0.3215999901294708},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28290000557899475},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C61665672","wikidata":"https://www.wikidata.org/wiki/Q303100","display_name":"Graph isomorphism","level":4,"score":0.26969999074935913},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-95-6196-4_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-95-6196-4_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-981-95-6196-4_4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-95-6196-4_4","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1996229963","https://openalex.org/W2016311778","https://openalex.org/W2153624566","https://openalex.org/W2168209541","https://openalex.org/W2170616854","https://openalex.org/W2286580204","https://openalex.org/W2620315948","https://openalex.org/W2789240707","https://openalex.org/W2965179470","https://openalex.org/W2981963339","https://openalex.org/W2983296147","https://openalex.org/W3014850249","https://openalex.org/W3069870036","https://openalex.org/W3171879699","https://openalex.org/W3176544432","https://openalex.org/W4306317775","https://openalex.org/W4385270521","https://openalex.org/W4392360559","https://openalex.org/W4403578235","https://openalex.org/W4405334233","https://openalex.org/W4407355490"],"related_works":[],"abstract_inverted_index":{"Graph":[0],"pattern":[1],"mining":[2,73,212],"(GPM)":[3],"extracts":[4],"subgraph":[5],"structures":[6],"(e.g.,":[7],"motifs":[8],"and":[9,28,45,68,70,81,95,127,142,152,172,201],"cliques)":[10],"from":[11],"large":[12,86,114,148],"graphs,":[13,149],"but":[14],"traditional":[15],"vertex-centric":[16],"graph":[17,211],"computing":[18],"frameworks":[19],"struggle":[20],"with":[21,93],"the":[22,34,106,129,138,176,187,197,206],"explosive":[23],"growth":[24],"of":[25,49,156,196,209],"intermediate":[26],"embeddings":[27],"redundant":[29],"isomorphism":[30],"checks.":[31],"Building":[32],"on":[33,85,111,125,137,147],"first":[35],"GPM":[36,51,198],"system,":[37],"Arabesque,":[38],"this":[39],"thesis":[40],"presents":[41],"a":[42,56,119,157,193],"systematic":[43],"survey":[44],"an":[46],"empirical":[47],"study":[48],"modern":[50],"systems.":[52,213],"We":[53],"then":[54],"conduct":[55],"comparative":[57],"evaluation":[58],"across":[59,102],"six":[60],"real-world":[61],"graphs":[62],"(CiteSeer,":[63],"Mico,":[64],"YouTube,":[65],"LiveJournal,":[66],"Orkut,":[67],"Twitter20)":[69],"three":[71],"representative":[72],"tasks:":[74],"Motif":[75],"Counting":[76,83],"(MC),":[77],"Clique":[78],"Finding":[79],"(CF),":[80],"Triangle":[82],"(TC)":[84],"graphs.":[87],"The":[88],"experiments":[89],"measure":[90],"runtime":[91],"together":[92],"CPU":[94],"memory":[96],"usage.":[97],"Results":[98],"show":[99],"clear":[100],"specialization":[101],"systems:":[103],"Peregrine":[104],"is":[105,123,128],"most":[107],"efficient":[108],"for":[109,204],"MC":[110],"small":[112],"to":[113,118,133],"graphs;":[115],"Sandslash":[116],"(and,":[117],"lesser":[120],"extent,":[121],"Pangolin)":[122],"strongest":[124],"CF":[126],"only":[130],"tested":[131],"system":[132],"finish":[134],"4-clique":[135],"finding":[136],"billion-edge":[139],"Twitter20":[140,153],"graph,":[141],"Arya":[143],"delivers":[144],"state-of-the-art":[145],"TC":[146],"completing":[150],"Orkut":[151],"in":[154],"fractions":[155],"second,":[158],"far":[159],"faster":[160],"than":[161],"CPU-centric":[162],"baselines.":[163],"Overall,":[164],"pattern-aware":[165],"exploration,":[166],"decomposition":[167],"(with":[168],"or":[169],"without":[170],"sampling),":[171],"heterogeneous":[173],"execution":[174],"are":[175],"dominant":[177],"factors":[178],"behind":[179],"scalable":[180,210],"performance,":[181],"while":[182],"exhaustive":[183],"embedding":[184],"enumeration":[185],"remains":[186],"primary":[188],"bottleneck.":[189],"These":[190],"findings":[191],"provide":[192],"unified":[194],"view":[195],"systems":[199],"landscape":[200],"practical":[202],"guidance":[203],"building":[205],"next":[207],"generation":[208]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-02-06T00:00:00"}