{"id":"https://openalex.org/W2036868363","doi":"https://doi.org/10.1145/1081870.1081944","title":"Discovering frequent topological structures from graph datasets","display_name":"Discovering frequent topological structures from graph datasets","publication_year":2005,"publication_date":"2005-08-21","ids":{"openalex":"https://openalex.org/W2036868363","doi":"https://doi.org/10.1145/1081870.1081944","mag":"2036868363"},"language":"en","primary_location":{"id":"doi:10.1145/1081870.1081944","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","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/A5103270436","display_name":"Ruoming Jin","orcid":"https://orcid.org/0000-0003-1895-4243"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"R. Jin","raw_affiliation_strings":["Ohio State University, Columbus, OH"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089379898","display_name":"C. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Wang","raw_affiliation_strings":["Ohio State University, Columbus, OH"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039113521","display_name":"Dmitrii Polshakov","orcid":"https://orcid.org/0000-0002-8654-3721"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Polshakov","raw_affiliation_strings":["Ohio State University, Columbus, OH"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755351","display_name":"Srinivasan Parthasarathy","orcid":"https://orcid.org/0000-0002-6062-6449"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Parthasarathy","raw_affiliation_strings":["Ohio State University, Columbus, OH"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025342178","display_name":"Gagan Agrawal","orcid":"https://orcid.org/0000-0002-2923-5327"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Agrawal","raw_affiliation_strings":["Ohio State University, Columbus, OH"],"affiliations":[{"raw_affiliation_string":"Ohio State University, Columbus, OH","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103270436"],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":11.8749,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.98098298,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"606","last_page":"611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9991999864578247,"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/T11106","display_name":"Data Management and Algorithms","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9861000180244446,"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/scalability","display_name":"Scalability","score":0.7245932221412659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7110038995742798},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5418411493301392},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.466643363237381},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4257239103317261},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41691070795059204},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3967435956001282},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1562492847442627}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7245932221412659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110038995742798},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5418411493301392},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.466643363237381},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4257239103317261},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41691070795059204},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3967435956001282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1562492847442627},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1081870.1081944","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.118.2064","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.2064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.kent.edu/~jin/Papers/tsm_full.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.387.464","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uiuc.edu/class/fa05/cs591han/kdd05/docs/p606.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W22405845","https://openalex.org/W30921965","https://openalex.org/W1506285740","https://openalex.org/W1544139368","https://openalex.org/W1564965657","https://openalex.org/W1592376869","https://openalex.org/W1970259423","https://openalex.org/W2023826879","https://openalex.org/W2030766291","https://openalex.org/W2036868363","https://openalex.org/W2047505345","https://openalex.org/W2106276707","https://openalex.org/W2108150886","https://openalex.org/W2124996875","https://openalex.org/W2131374321","https://openalex.org/W2136593687","https://openalex.org/W2141842526","https://openalex.org/W2144903778","https://openalex.org/W2162481448","https://openalex.org/W2170726034","https://openalex.org/W2522853541","https://openalex.org/W2798588639","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550","https://openalex.org/W97075385","https://openalex.org/W2357523926"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,53,70,110,124],"finding":[3],"frequent":[4,39,45,61,98],"patterns":[5,63,100],"from":[6,48,132],"graph-based":[7],"datasets":[8,118],"is":[9],"an":[10],"important":[11],"one":[12],"that":[13],"finds":[14],"applications":[15],"in":[16,101],"drug":[17],"discovery,":[18],"protein":[19,133],"structure":[20,134],"analysis,":[21],"XML":[22],"querying,":[23],"and":[24,77,90,108,116,119],"social":[25],"network":[26],"analysis":[27],"among":[28],"others.":[29],"In":[30],"this":[31],"paper":[32],"we":[33],"propose":[34],"a":[35,71],"framework":[36,55,126],"to":[37,127],"mine":[38],"large-scale":[40],"structures,":[41,47],"formally":[42],"defined":[43],"as":[44],"topological":[46,62,72,88,99,130],"graph":[49],"datasets.":[50,103],"Key":[51],"elements":[52],"our":[54],"include,":[56],"fast":[57],"algorithms":[58,74,113],"for":[59,75,85,92],"discovering":[60,86,97],"based":[64],"on":[65,114],"the":[66,82,106,111,122,125],"well":[67],"known":[68],"notion":[69],"minor,":[73],"specifying":[76,93],"pushing":[78],"constraints":[79],"deep":[80],"into":[81],"mining":[83],"process":[84],"constrained":[87],"patterns,":[89],"mechanisms":[91],"approximate":[94],"matches":[95],"when":[96],"noisy":[102],"We":[104],"demonstrate":[105],"viability":[107],"scalability":[109],"proposed":[112],"real":[115],"synthetic":[117],"also":[120],"discuss":[121],"use":[123],"discover":[128],"meaningful":[129],"structures":[131],"data.":[135]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}