{"id":"https://openalex.org/W3014850249","doi":"https://doi.org/10.1145/3342195.3387548","title":"Peregrine","display_name":"Peregrine","publication_year":2020,"publication_date":"2020-04-15","ids":{"openalex":"https://openalex.org/W3014850249","doi":"https://doi.org/10.1145/3342195.3387548","mag":"3014850249"},"language":"en","primary_location":{"id":"doi:10.1145/3342195.3387548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3342195.3387548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth European Conference on Computer Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.02369","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050726295","display_name":"Kasra Jamshidi","orcid":"https://orcid.org/0000-0003-4358-7078"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kasra Jamshidi","raw_affiliation_strings":["Simon Fraser University, British Columbia, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, British Columbia, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027439115","display_name":"Rakesh Mahadasa","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rakesh Mahadasa","raw_affiliation_strings":["Simon Fraser University, British Columbia, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, British Columbia, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054794473","display_name":"Keval Vora","orcid":"https://orcid.org/0000-0002-5462-5116"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Keval Vora","raw_affiliation_strings":["Simon Fraser University, British Columbia, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, British Columbia, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":4.5274,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.95650874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998000264167786,"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":0.9998000264167786,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7651691436767578},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6054847240447998},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5390500426292419},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4931465983390808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1637077033519745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651691436767578},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6054847240447998},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5390500426292419},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4931465983390808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1637077033519745}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3342195.3387548","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3342195.3387548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth European Conference on Computer Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.02369","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.02369","pdf_url":"https://arxiv.org/pdf/2004.02369","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.02369","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.02369","pdf_url":"https://arxiv.org/pdf/2004.02369","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W1425731158","https://openalex.org/W1448681276","https://openalex.org/W1510837191","https://openalex.org/W1553420678","https://openalex.org/W1582397847","https://openalex.org/W1881940640","https://openalex.org/W1969970763","https://openalex.org/W1974939910","https://openalex.org/W1989568113","https://openalex.org/W1996229963","https://openalex.org/W2000041758","https://openalex.org/W2010532254","https://openalex.org/W2019827052","https://openalex.org/W2022704179","https://openalex.org/W2034102265","https://openalex.org/W2035173902","https://openalex.org/W2052904247","https://openalex.org/W2072901340","https://openalex.org/W2085494605","https://openalex.org/W2090885171","https://openalex.org/W2120532793","https://openalex.org/W2122255072","https://openalex.org/W2131071574","https://openalex.org/W2145195191","https://openalex.org/W2147427313","https://openalex.org/W2153624566","https://openalex.org/W2241571695","https://openalex.org/W2319353486","https://openalex.org/W2415186390","https://openalex.org/W2423652555","https://openalex.org/W2423807589","https://openalex.org/W2524623326","https://openalex.org/W2562206395","https://openalex.org/W2577167493","https://openalex.org/W2604668004","https://openalex.org/W2605185701","https://openalex.org/W2612186437","https://openalex.org/W2613522499","https://openalex.org/W2621740759","https://openalex.org/W2757008478","https://openalex.org/W2783564496","https://openalex.org/W2787993231","https://openalex.org/W2794880266","https://openalex.org/W2798660790","https://openalex.org/W2798851570","https://openalex.org/W2798875768","https://openalex.org/W2865668172","https://openalex.org/W2899106831","https://openalex.org/W2899432611","https://openalex.org/W2903551170","https://openalex.org/W2922946586","https://openalex.org/W2928052000","https://openalex.org/W2938791877","https://openalex.org/W2948359422","https://openalex.org/W2948371732","https://openalex.org/W2950201825","https://openalex.org/W2963212338","https://openalex.org/W2970204999","https://openalex.org/W2981963339","https://openalex.org/W2990167451","https://openalex.org/W3124079976","https://openalex.org/W4242393948","https://openalex.org/W4244572977"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2477549100"],"abstract_inverted_index":{"Graph":[0],"mining":[1,19,47,116],"workloads":[2],"aim":[3],"to":[4,25,52,101,113],"extract":[5],"structural":[6],"properties":[7],"of":[8,29,34,57,88],"a":[9,22],"graph":[10,18,46],"by":[11],"exploring":[12],"its":[13],"subgraph":[14,27],"structures.":[15],"General":[16],"purpose":[17],"systems":[20,48],"provide":[21],"generic":[23],"runtime":[24],"explore":[26,68],"structures":[28],"interest":[30],"with":[31],"the":[32,39,44,53,58,76],"help":[33],"user-defined":[35],"functions":[36],"that":[37,60],"guide":[38],"overall":[40,92],"exploration":[41,104],"process.":[42],"However,":[43],"state-of-the-art":[45],"remain":[49],"largely":[50],"oblivious":[51],"shape":[54],"(or":[55],"pattern)":[56],"subgraphs":[59,84],"they":[61],"mine.":[62],"This":[63],"causes":[64],"them":[65],"to:":[66],"(a)":[67],"unnecessary":[69],"subgraphs;":[70,78],"(b)":[71],"perform":[72],"expensive":[73],"computations":[74],"on":[75],"explored":[77],"and,":[79],"(c)":[80],"hold":[81],"intermediate":[82],"partial":[83],"in":[85],"memory;":[86],"all":[87],"which":[89,106],"affect":[90],"their":[91,95,102],"performance.":[93],"Furthermore,":[94],"programming":[96],"models":[97],"are":[98],"often":[99],"tied":[100],"underlying":[103],"strategies,":[105],"makes":[107],"it":[108],"difficult":[109],"for":[110],"domain":[111],"users":[112],"express":[114],"complex":[115],"tasks.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":6}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2020-04-10T00:00:00"}